GrandPrix
string | Session
string | Driver
string | Lap
int64 | CornerID
int64 | Compound
string | TireLife
int64 | Stint
int64 | speed_0
float64 | speed_1
float64 | speed_2
float64 | speed_3
float64 | speed_4
float64 | speed_5
float64 | speed_6
float64 | speed_7
float64 | speed_8
float64 | speed_9
float64 | speed_10
float64 | speed_11
float64 | speed_12
float64 | speed_13
float64 | speed_14
float64 | speed_15
float64 | speed_16
float64 | speed_17
float64 | speed_18
float64 | speed_19
float64 | speed_20
float64 | speed_21
float64 | speed_22
float64 | speed_23
float64 | speed_24
float64 | speed_25
float64 | speed_26
float64 | speed_27
float64 | speed_28
float64 | speed_29
float64 | speed_30
float64 | speed_31
float64 | speed_32
float64 | speed_33
float64 | speed_34
float64 | speed_35
float64 | speed_36
float64 | speed_37
float64 | speed_38
float64 | speed_39
float64 | speed_40
float64 | speed_41
float64 | speed_42
float64 | speed_43
float64 | speed_44
float64 | speed_45
float64 | speed_46
float64 | speed_47
float64 | speed_48
float64 | speed_49
float64 | rpm_0
float64 | rpm_1
float64 | rpm_2
float64 | rpm_3
float64 | rpm_4
float64 | rpm_5
float64 | rpm_6
float64 | rpm_7
float64 | rpm_8
float64 | rpm_9
float64 | rpm_10
float64 | rpm_11
float64 | rpm_12
float64 | rpm_13
float64 | rpm_14
float64 | rpm_15
float64 | rpm_16
float64 | rpm_17
float64 | rpm_18
float64 | rpm_19
float64 | rpm_20
float64 | rpm_21
float64 | rpm_22
float64 | rpm_23
float64 | rpm_24
float64 | rpm_25
float64 | rpm_26
float64 | rpm_27
float64 | rpm_28
float64 | rpm_29
float64 | rpm_30
float64 | rpm_31
float64 | rpm_32
float64 | rpm_33
float64 | rpm_34
float64 | rpm_35
float64 | rpm_36
float64 | rpm_37
float64 | rpm_38
float64 | rpm_39
float64 | rpm_40
float64 | rpm_41
float64 | rpm_42
float64 | rpm_43
float64 | rpm_44
float64 | rpm_45
float64 | rpm_46
float64 | rpm_47
float64 | rpm_48
float64 | rpm_49
float64 | throttle_0
float64 | throttle_1
float64 | throttle_2
float64 | throttle_3
float64 | throttle_4
float64 | throttle_5
float64 | throttle_6
float64 | throttle_7
float64 | throttle_8
float64 | throttle_9
float64 | throttle_10
float64 | throttle_11
float64 | throttle_12
float64 | throttle_13
float64 | throttle_14
float64 | throttle_15
float64 | throttle_16
float64 | throttle_17
float64 | throttle_18
float64 | throttle_19
float64 | throttle_20
float64 | throttle_21
float64 | throttle_22
float64 | throttle_23
float64 | throttle_24
float64 | throttle_25
float64 | throttle_26
float64 | throttle_27
float64 | throttle_28
float64 | throttle_29
float64 | throttle_30
float64 | throttle_31
float64 | throttle_32
float64 | throttle_33
float64 | throttle_34
float64 | throttle_35
float64 | throttle_36
float64 | throttle_37
float64 | throttle_38
float64 | throttle_39
float64 | throttle_40
float64 | throttle_41
float64 | throttle_42
float64 | throttle_43
float64 | throttle_44
float64 | throttle_45
float64 | throttle_46
float64 | throttle_47
float64 | throttle_48
float64 | throttle_49
float64 | brake_0
int64 | brake_1
int64 | brake_2
int64 | brake_3
int64 | brake_4
int64 | brake_5
int64 | brake_6
int64 | brake_7
int64 | brake_8
int64 | brake_9
int64 | brake_10
int64 | brake_11
int64 | brake_12
int64 | brake_13
int64 | brake_14
int64 | brake_15
int64 | brake_16
int64 | brake_17
int64 | brake_18
int64 | brake_19
int64 | brake_20
int64 | brake_21
int64 | brake_22
int64 | brake_23
int64 | brake_24
int64 | brake_25
int64 | brake_26
int64 | brake_27
int64 | brake_28
int64 | brake_29
int64 | brake_30
int64 | brake_31
int64 | brake_32
int64 | brake_33
int64 | brake_34
int64 | brake_35
int64 | brake_36
int64 | brake_37
int64 | brake_38
int64 | brake_39
int64 | brake_40
int64 | brake_41
int64 | brake_42
int64 | brake_43
int64 | brake_44
int64 | brake_45
int64 | brake_46
int64 | brake_47
int64 | brake_48
int64 | brake_49
int64 | acc_x_0
float64 | acc_x_1
float64 | acc_x_2
float64 | acc_x_3
float64 | acc_x_4
float64 | acc_x_5
float64 | acc_x_6
float64 | acc_x_7
float64 | acc_x_8
float64 | acc_x_9
float64 | acc_x_10
float64 | acc_x_11
float64 | acc_x_12
float64 | acc_x_13
float64 | acc_x_14
float64 | acc_x_15
float64 | acc_x_16
float64 | acc_x_17
float64 | acc_x_18
float64 | acc_x_19
float64 | acc_x_20
float64 | acc_x_21
float64 | acc_x_22
float64 | acc_x_23
float64 | acc_x_24
float64 | acc_x_25
float64 | acc_x_26
float64 | acc_x_27
float64 | acc_x_28
float64 | acc_x_29
float64 | acc_x_30
float64 | acc_x_31
float64 | acc_x_32
float64 | acc_x_33
float64 | acc_x_34
float64 | acc_x_35
float64 | acc_x_36
float64 | acc_x_37
float64 | acc_x_38
float64 | acc_x_39
float64 | acc_x_40
float64 | acc_x_41
float64 | acc_x_42
float64 | acc_x_43
float64 | acc_x_44
float64 | acc_x_45
float64 | acc_x_46
float64 | acc_x_47
float64 | acc_x_48
float64 | acc_x_49
float64 | acc_y_0
float64 | acc_y_1
float64 | acc_y_2
float64 | acc_y_3
float64 | acc_y_4
float64 | acc_y_5
float64 | acc_y_6
float64 | acc_y_7
float64 | acc_y_8
float64 | acc_y_9
float64 | acc_y_10
float64 | acc_y_11
float64 | acc_y_12
float64 | acc_y_13
float64 | acc_y_14
float64 | acc_y_15
float64 | acc_y_16
float64 | acc_y_17
float64 | acc_y_18
float64 | acc_y_19
float64 | acc_y_20
float64 | acc_y_21
float64 | acc_y_22
float64 | acc_y_23
float64 | acc_y_24
float64 | acc_y_25
float64 | acc_y_26
float64 | acc_y_27
float64 | acc_y_28
float64 | acc_y_29
float64 | acc_y_30
float64 | acc_y_31
float64 | acc_y_32
float64 | acc_y_33
float64 | acc_y_34
float64 | acc_y_35
float64 | acc_y_36
float64 | acc_y_37
float64 | acc_y_38
float64 | acc_y_39
float64 | acc_y_40
float64 | acc_y_41
float64 | acc_y_42
float64 | acc_y_43
float64 | acc_y_44
float64 | acc_y_45
float64 | acc_y_46
float64 | acc_y_47
float64 | acc_y_48
float64 | acc_y_49
float64 | acc_z_0
float64 | acc_z_1
float64 | acc_z_2
float64 | acc_z_3
float64 | acc_z_4
float64 | acc_z_5
float64 | acc_z_6
float64 | acc_z_7
float64 | acc_z_8
float64 | acc_z_9
float64 | acc_z_10
float64 | acc_z_11
float64 | acc_z_12
float64 | acc_z_13
float64 | acc_z_14
float64 | acc_z_15
float64 | acc_z_16
float64 | acc_z_17
float64 | acc_z_18
float64 | acc_z_19
float64 | acc_z_20
float64 | acc_z_21
float64 | acc_z_22
float64 | acc_z_23
float64 | acc_z_24
float64 | acc_z_25
float64 | acc_z_26
float64 | acc_z_27
float64 | acc_z_28
float64 | acc_z_29
float64 | acc_z_30
float64 | acc_z_31
float64 | acc_z_32
float64 | acc_z_33
float64 | acc_z_34
float64 | acc_z_35
float64 | acc_z_36
float64 | acc_z_37
float64 | acc_z_38
float64 | acc_z_39
float64 | acc_z_40
float64 | acc_z_41
float64 | acc_z_42
float64 | acc_z_43
float64 | acc_z_44
float64 | acc_z_45
float64 | acc_z_46
float64 | acc_z_47
float64 | acc_z_48
float64 | acc_z_49
float64 | x_0
float64 | x_1
float64 | x_2
float64 | x_3
float64 | x_4
float64 | x_5
float64 | x_6
float64 | x_7
float64 | x_8
float64 | x_9
float64 | x_10
float64 | x_11
float64 | x_12
float64 | x_13
float64 | x_14
float64 | x_15
float64 | x_16
float64 | x_17
float64 | x_18
float64 | x_19
float64 | x_20
float64 | x_21
float64 | x_22
float64 | x_23
float64 | x_24
float64 | x_25
float64 | x_26
float64 | x_27
float64 | x_28
float64 | x_29
float64 | x_30
float64 | x_31
float64 | x_32
float64 | x_33
float64 | x_34
float64 | x_35
float64 | x_36
float64 | x_37
float64 | x_38
float64 | x_39
float64 | x_40
float64 | x_41
float64 | x_42
float64 | x_43
float64 | x_44
float64 | x_45
float64 | x_46
float64 | x_47
float64 | x_48
float64 | x_49
float64 | y_0
float64 | y_1
float64 | y_2
float64 | y_3
float64 | y_4
float64 | y_5
float64 | y_6
float64 | y_7
float64 | y_8
float64 | y_9
float64 | y_10
float64 | y_11
float64 | y_12
float64 | y_13
float64 | y_14
float64 | y_15
float64 | y_16
float64 | y_17
float64 | y_18
float64 | y_19
float64 | y_20
float64 | y_21
float64 | y_22
float64 | y_23
float64 | y_24
float64 | y_25
float64 | y_26
float64 | y_27
float64 | y_28
float64 | y_29
float64 | y_30
float64 | y_31
float64 | y_32
float64 | y_33
float64 | y_34
float64 | y_35
float64 | y_36
float64 | y_37
float64 | y_38
float64 | y_39
float64 | y_40
float64 | y_41
float64 | y_42
float64 | y_43
float64 | y_44
float64 | y_45
float64 | y_46
float64 | y_47
float64 | y_48
float64 | y_49
float64 | z_0
float64 | z_1
float64 | z_2
float64 | z_3
float64 | z_4
float64 | z_5
float64 | z_6
float64 | z_7
float64 | z_8
float64 | z_9
float64 | z_10
float64 | z_11
float64 | z_12
float64 | z_13
float64 | z_14
float64 | z_15
float64 | z_16
float64 | z_17
float64 | z_18
float64 | z_19
float64 | z_20
float64 | z_21
float64 | z_22
float64 | z_23
float64 | z_24
float64 | z_25
float64 | z_26
float64 | z_27
float64 | z_28
float64 | z_29
float64 | z_30
float64 | z_31
float64 | z_32
float64 | z_33
float64 | z_34
float64 | z_35
float64 | z_36
float64 | z_37
float64 | z_38
float64 | z_39
float64 | z_40
float64 | z_41
float64 | z_42
float64 | z_43
float64 | z_44
float64 | z_45
float64 | z_46
float64 | z_47
float64 | z_48
float64 | z_49
float64 | distance_0
float64 | distance_1
float64 | distance_2
float64 | distance_3
float64 | distance_4
float64 | distance_5
float64 | distance_6
float64 | distance_7
float64 | distance_8
float64 | distance_9
float64 | distance_10
float64 | distance_11
float64 | distance_12
float64 | distance_13
float64 | distance_14
float64 | distance_15
float64 | distance_16
float64 | distance_17
float64 | distance_18
float64 | distance_19
float64 | distance_20
float64 | distance_21
float64 | distance_22
float64 | distance_23
float64 | distance_24
float64 | distance_25
float64 | distance_26
float64 | distance_27
float64 | distance_28
float64 | distance_29
float64 | distance_30
float64 | distance_31
float64 | distance_32
float64 | distance_33
float64 | distance_34
float64 | distance_35
float64 | distance_36
float64 | distance_37
float64 | distance_38
float64 | distance_39
float64 | distance_40
float64 | distance_41
float64 | distance_42
float64 | distance_43
float64 | distance_44
float64 | distance_45
float64 | distance_46
float64 | distance_47
float64 | distance_48
float64 | distance_49
float64 | time_0
float64 | time_1
float64 | time_2
float64 | time_3
float64 | time_4
float64 | time_5
float64 | time_6
float64 | time_7
float64 | time_8
float64 | time_9
float64 | time_10
float64 | time_11
float64 | time_12
float64 | time_13
float64 | time_14
float64 | time_15
float64 | time_16
float64 | time_17
float64 | time_18
float64 | time_19
float64 | time_20
float64 | time_21
float64 | time_22
float64 | time_23
float64 | time_24
float64 | time_25
float64 | time_26
float64 | time_27
float64 | time_28
float64 | time_29
float64 | time_30
float64 | time_31
float64 | time_32
float64 | time_33
float64 | time_34
float64 | time_35
float64 | time_36
float64 | time_37
float64 | time_38
float64 | time_39
float64 | time_40
float64 | time_41
float64 | time_42
float64 | time_43
float64 | time_44
float64 | time_45
float64 | time_46
float64 | time_47
float64 | time_48
float64 | time_49
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 2
|
SOFT
| 1
| 1
| 145
| 149.3
| 154.8
| 155
| 164
| 167.3
| 172
| 172.45
| 178
| 179.485714
| 186
| 188.45
| 192.825
| 193
| 196.87
| 201.37
| 202
| 205.3
| 210
| 211.725
| 213
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 10,838
| 11,291.22
| 11,870.92
| 11,892
| 11,233
| 11,152.15
| 11,037
| 11,056.35
| 11,295
| 11,369.1
| 11,694
| 11,452.5
| 11,021.25
| 11,004
| 11,055.17
| 11,114.67
| 11,123
| 11,306.5625
| 11,568
| 11,627.225
| 11,671
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 70
| 71.72
| 73.92
| 74
| 74
| 74.4125
| 75
| 75.075
| 76
| 76.742857
| 80
| 80
| 80
| 80
| 83.44
| 87.44
| 88
| 90.8875
| 95
| 97.875
| 100
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 8.354377
| 7.19697
| 8.725071
| 9.840645
| 9.840645
| 8.129462
| 8.171296
| 9.113757
| 9.375
| 8.344032
| 7.11222
| 6.49218
| 6.131687
| 6.189558
| 6.247428
| 6.440972
| 6.672454
| 6.71379
| 6.175595
| 6.956319
| 8.535354
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 2.858565
| 3.537501
| 6.03544
| 9.299675
| 11.005709
| 12.163284
| 14.050148
| 15.886324
| 19.766172
| 25.462818
| 26.730028
| 26.008507
| 24.707086
| 24.674514
| 24.816898
| 23.48135
| 20.677098
| 13.265265
| 4.614556
| 2.050168
| 1.4733
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| -0
| -0
| 0
| 0
| -0
| 0
| 0
| 0
| 0
| 0
| -0.00005
| -0.00005
| 0.000091
| 0.000091
| -0.000323
| -0.002743
| -0.002364
| 0.006064
| 0.00582
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 4,033.106358
| 4,017
| 3,982
| 3,980.971872
| 3,965.331453
| 3,954
| 3,926.118353
| 3,924
| 3,895.159617
| 3,884
| 3,829.358606
| 3,799
| 3,738
| 3,735.288536
| 3,671
| 3,582
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| 3,508
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| 3,371
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| 4,117
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| 4,359
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| 4,512.079575
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| 343.488485
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| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 3
|
SOFT
| 1
| 1
| 227.420063
| 227
| 225.744445
| 223.311111
| 223
| 221
| 221
| 221
| 220.033333
| 220
| 220.828571
| 221
| 222
| 222.46
| 223
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| 227
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| 231
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| -1,000
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| 10,404
| 10,436.644426
| 10,499.911111
| 10,508
| 10,410
| 10,406
| 10,400
| 10,405.8
| 10,406
| 10,430.028571
| 10,435
| 10,473
| 10,548.9
| 10,638
| 10,690.2
| 10,692
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| 11,048
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| 11,382.18
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 51.391859
| 39
| 41.197221
| 45.455556
| 46
| 49
| 51
| 54
| 56.9
| 57
| 60.314286
| 61
| 68
| 69.84
| 72
| 80.7
| 81
| 93.846476
| 99
| 99
| 99
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| 0.25169
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| 1.024777
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| 29.627966
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| 32.644546
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| 2,476
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| 2,143
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| -1,000
| -1,000
| -1,000
| 5,401
| 5,423.405653
| 5,466
| 5,543
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| 5,628.444025
| 5,683
| 5,763.166375
| 5,904
| 5,910.362807
| 6,119
| 6,157.534154
| 6,328.497079
| 6,369
| 6,407.825793
| 6,495
| 6,499.433806
| 6,611
| 6,653.338352
| 6,728
| 6,993
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| -1,000
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| -1,000
| -1,000
| 0
| 0.07429
| 0
| 0
| 0.828982
| 9.036343
| 0
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| -133.096694
| -130
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| -1,000
| -1,000
| 450.488099
| 454.685
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| 475.262134
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| 493.68627
| 503.996111
| 518.173268
| 518.662778
| 532.898628
| 535.851667
| 553.118333
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| 580.132038
| 580.640556
| 591.638599
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| 603.434643
| 622.121406
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 30.754
| 30.821
| 30.934
| 31.153
| 31.181
| 31.341
| 31.453
| 31.621
| 31.853
| 31.861
| 32.093
| 32.141
| 32.421
| 32.513
| 32.621
| 32.853
| 32.861
| 33.033
| 33.102
| 33.214
| 33.494
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 4
|
SOFT
| 1
| 1
| 258.71
| 262
| 262.457143
| 266
| 267.32
| 268
| 268.4
| 270.65
| 271
| 273.914286
| 274
| 276
| 278
| 278.371429
| 278.942857
| 280
| 281
| 281.433333
| 284.433333
| 285
| 285.7
| 286
| 287
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 10,664.76
| 10,802
| 10,818.342857
| 10,945
| 10,982.62
| 11,002
| 11,018.4
| 11,110.65
| 11,125
| 11,240.6
| 11,244
| 11,313
| 11,500
| 11,498.514286
| 11,496.228571
| 11,492
| 11,535
| 11,544.316667
| 11,608.816667
| 11,621
| 11,681.2
| 11,707
| 11,758
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| 99
| -1,000
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| 4.82203
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| 3.083333
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| 3.32231
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| 3.149093
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| 2.561518
| 2.194088
| 1.941181
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 2,307
| 2,330.621258
| 2,335
| 2,364.903525
| 2,379
| 2,385.94491
| 2,389
| 2,403
| 2,404.837329
| 2,418
| 2,418.222278
| 2,420.528846
| 2,420.003624
| 2,420
| 2,420
| 2,417.83716
| 2,413.349289
| 2,412
| 2,403
| 2,400.594653
| 2,396
| 2,393.818241
| 2,383.668602
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 7,668
| 7,799.86426
| 7,825
| 8,007.801737
| 8,103
| 8,152.64701
| 8,176
| 8,311
| 8,334.553366
| 8,583
| 8,589.439088
| 8,701.561722
| 8,823.240039
| 8,860
| 8,922
| 9,069.027544
| 9,244.000799
| 9,290
| 9,509
| 9,559.568838
| 9,651
| 9,690.277607
| 9,850.627792
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -160
| -165.003349
| -166
| -173.68634
| -177
| -178.369945
| -179
| -183
| -183.759297
| -192
| -192.191671
| -195.086549
| -197.877618
| -199
| -201
| -204.427638
| -207.32876
| -208
| -210
| -210.405341
| -211
| -211.101672
| -210.895018
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 699.218979
| 712.971389
| 715.324131
| 733.660278
| 743.472136
| 748.549167
| 750.945054
| 764.497688
| 766.615833
| 787.31531
| 787.926944
| 800.193611
| 815.638056
| 819.671107
| 825.889063
| 837.415833
| 849.904722
| 853.984885
| 882.504102
| 887.904722
| 896.799338
| 900.615833
| 916.560278
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 34.594
| 34.782
| 34.814
| 35.062
| 35.194
| 35.262
| 35.294
| 35.474
| 35.502
| 35.774
| 35.782
| 35.942
| 36.142
| 36.194
| 36.274
| 36.422
| 36.582
| 36.634
| 36.994
| 37.062
| 37.174
| 37.222
| 37.422
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 5
|
SOFT
| 1
| 1
| 284
| 282.8
| 278
| 263.533333
| 247
| 247
| 247
| 216
| 200.7375
| 179
| 164.861493
| 157
| 112.264
| 109
| 106.2
| 103
| 102.1
| 101
| 99.71
| 98.96
| 98
| 97.64
| 97
| 95.11
| 94
| 94.144444
| 94.7
| 94.866667
| 95
| 97.485714
| 98
| 99.9
| 100
| 103.4
| 104
| 104.64
| 108
| 108.444444
| 112.333333
| 113
| 120.166667
| 123
| 132
| 133.12
| 139.42
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 11,683
| 11,504.2
| 10,789
| 10,427.8
| 10,015
| 9,654.475
| 9,578
| 9,613
| 9,653.8375
| 9,712
| 9,428.587207
| 9,271
| 7,795.644
| 7,688
| 7,499.933333
| 7,285
| 7,268.8
| 7,249
| 7,137.2
| 7,072.2
| 6,989
| 6,971
| 6,939
| 6,872.22
| 6,833
| 6,854.955556
| 6,939.4
| 6,964.733333
| 6,985
| 7,231.085714
| 7,282
| 7,496.7
| 7,508
| 7,794.45
| 7,845
| 7,893.48
| 8,148
| 8,192
| 8,577
| 8,643
| 9,108.833333
| 9,293
| 9,467
| 9,565.24
| 10,117.84
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 6.3
| 10
| 12.022222
| 19.8
| 22.133333
| 24
| 28.142857
| 29
| 31.85
| 32
| 37.95
| 39
| 39.64
| 43
| 43.622222
| 49.066667
| 50
| 55.016667
| 57
| 61
| 61.88
| 66.83
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -8.000894
| -14.377572
| -22.865226
| -25.280943
| -17.847816
| -18.477283
| -25.491647
| -36.197666
| -31.517495
| -24.257953
| -18.142074
| -14.677346
| -12.153926
| -9.878601
| -7.332305
| -5.37037
| -3.906695
| -2.702991
| -2.240028
| -2
| -1.768519
| -1.690546
| -1.773879
| -1.757933
| -0.884259
| 0.067387
| 0.771605
| 1.38049
| 2.115352
| 2.975876
| 3.267196
| 3.43254
| 3.472222
| 3.75
| 4.444444
| 5.048354
| 4.899177
| 4.333333
| 5.868874
| 8.44089
| 10.723869
| 10.884713
| 10.267429
| 9.939183
| 9.452862
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 1.972709
| 3.238734
| 4.338199
| 5.153062
| 6.591147
| 7.272513
| 10.46726
| 11.902643
| 12.816345
| 18.721292
| 18.765367
| 19.516305
| 21.585556
| 21.729289
| 22.558417
| 21.662865
| 23.204874
| 26.558184
| 22.770004
| 23.575301
| 25.968589
| 25.114442
| 24.812529
| 26.680118
| 24.849587
| 23.066683
| 20.228268
| 20.019484
| 19.047211
| 15.605613
| 18.587593
| 18.244353
| 15.729528
| 15.916257
| 15.608232
| 15.090109
| 13.161385
| 12.311749
| 12.222443
| 8.000493
| 7.084438
| 5.714229
| 4.611223
| 3.663214
| 2.590674
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -13.219709
| -9.040749
| -5.248969
| -5.39616
| -5.110835
| -2.748124
| -0.312999
| 0.645927
| 1.587727
| 2.419361
| 2.368107
| 2.095262
| 2.221821
| 2.574495
| 2.456055
| 1.28391
| 0.734236
| 0.916734
| 0.575669
| -0.218556
| -0.650091
| -0.518961
| -0.514379
| 0.301681
| 0.903466
| 0.843524
| 0.211451
| 0.881108
| 1.319208
| 1.068814
| 1.824343
| 2.721343
| 1.856279
| 1.511139
| 2.122121
| 2.930177
| 1.561173
| 0.668476
| 1.850842
| 2.089205
| 0.984578
| 0.62479
| 0.391529
| -0.012723
| -1.288225
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 2,333.059952
| 2,331
| 2,320.209415
| 2,311
| 2,304.372183
| 2,298
| 2,296.18536
| 2,278.771558
| 2,266
| 2,248.437622
| 2,226
| 2,212.139624
| 2,076
| 2,062.755727
| 2,040
| 2,012.821709
| 1,997
| 1,977.147839
| 1,937
| 1,913
| 1,880.607533
| 1,862
| 1,828.838469
| 1,764
| 1,726.902337
| 1,714
| 1,666
| 1,653
| 1,642.432537
| 1,590
| 1,579.787636
| 1,549
| 1,547.418984
| 1,496
| 1,487.524813
| 1,482
| 1,454.819575
| 1,450
| 1,409
| 1,400.474059
| 1,370
| 1,362.130705
| 1,347.006924
| 1,344
| 1,322
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 10,518.971685
| 10,542
| 10,660.021044
| 10,760
| 10,832.672947
| 10,894
| 10,909.649047
| 11,045.923629
| 11,132
| 11,227.525184
| 11,318
| 11,364.608562
| 11,629
| 11,643.847308
| 11,667
| 11,691.387772
| 11,704
| 11,718.246411
| 11,742
| 11,753
| 11,764.339971
| 11,769
| 11,773.764664
| 11,770
| 11,759.767224
| 11,755
| 11,732
| 11,724
| 11,717.140097
| 11,679
| 11,670.49381
| 11,642
| 11,640.407367
| 11,581
| 11,569.707032
| 11,562
| 11,519.181031
| 11,511
| 11,432
| 11,412.548626
| 11,339
| 11,319.764414
| 11,279.747476
| 11,271
| 11,205
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -212.076506
| -212
| -211.506227
| -211
| -210.5114
| -210
| -209.87601
| -208.833001
| -208
| -206.620338
| -205
| -204.364404
| -202
| -201.527405
| -201
| -201.578293
| -202
| -202.302591
| -203
| -204
| -204.105268
| -204
| -204.170035
| -205
| -205.013484
| -205
| -205
| -205
| -205.161993
| -207
| -207.077581
| -207
| -207.027579
| -209
| -208.974433
| -209
| -210.668772
| -211
| -213
| -213.599048
| -216
| -216.470716
| -216.786378
| -217
| -219
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 983.769167
| 986.282787
| 996.124722
| 1,003.974395
| 1,012.591389
| 1,021.712652
| 1,023.569167
| 1,035.569167
| 1,042.502832
| 1,051.480278
| 1,061.90865
| 1,067.223889
| 1,095.578667
| 1,097.501667
| 1,100.705559
| 1,104.368333
| 1,106.400335
| 1,108.857222
| 1,113.578953
| 1,116.284605
| 1,119.746111
| 1,121.693247
| 1,125.135
| 1,131.730807
| 1,135.579444
| 1,136.937952
| 1,142.197906
| 1,143.794536
| 1,145.079444
| 1,151.38176
| 1,152.701667
| 1,156.921303
| 1,157.146111
| 1,164.975063
| 1,166.390556
| 1,167.339553
| 1,172.390556
| 1,173.365293
| 1,182.120687
| 1,183.690556
| 1,189.509482
| 1,191.890556
| 1,200.653889
| 1,201.888138
| 1,209.121338
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 38.261
| 38.293
| 38.421
| 38.533
| 38.661
| 38.793
| 38.821
| 39.021
| 39.153
| 39.341
| 39.573
| 39.702
| 40.634
| 40.702
| 40.814
| 40.942
| 41.014
| 41.102
| 41.274
| 41.374
| 41.502
| 41.574
| 41.702
| 41.954
| 42.102
| 42.154
| 42.354
| 42.414
| 42.462
| 42.694
| 42.742
| 42.894
| 42.902
| 43.174
| 43.222
| 43.254
| 43.422
| 43.454
| 43.734
| 43.782
| 43.954
| 44.022
| 44.261
| 44.293
| 44.473
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 6
|
SOFT
| 1
| 1
| 196.95
| 184
| 173.25
| 169
| 159.8625
| 152
| 146.068535
| 137.595013
| 135
| 124.366667
| 124
| 83.482353
| 83
| 78.05
| 74
| 68
| 66.7
| 62.2
| 62
| 54.909091
| 52
| 50
| 49.6
| 48
| 44.755556
| 44
| 44
| 44
| 44.7
| 45
| 45
| 44.84
| 44
| 44
| 44
| 43
| 42.366667
| 42
| 42
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 9,049.875
| 8,481
| 8,627.916667
| 8,686
| 8,795.65
| 8,890
| 8,805.912756
| 8,685.788121
| 8,649
| 8,463.4
| 8,457
| 6,724.623529
| 6,704
| 6,305.8
| 5,980
| 5,471
| 5,352.916667
| 4,944.166667
| 4,926
| 4,428.927273
| 4,225
| 3,986
| 3,949.2
| 3,802
| 3,814.977778
| 3,818
| 3,750.68
| 3,716
| 3,678.9
| 3,663
| 3,831
| 3,962.84
| 4,655
| 4,606.24
| 4,549
| 4,503
| 4,437.766667
| 4,400
| 4,353.2
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -23.599672
| -20.746528
| -17.809606
| -15.870949
| -14.996293
| -14.735021
| -14.719696
| -14.166201
| -13.50637
| -14.169749
| -15.393652
| -14.742651
| -12.647837
| -10.086333
| -9.175752
| -8.018345
| -7.311875
| -6.739268
| -6.52883
| -5.792298
| -4.840067
| -3.893098
| -3.382814
| -3.254213
| -2.4466
| -1.378601
| 0.010288
| 0.938786
| 1.072333
| 0.63509
| -0.406576
| -0.839269
| -0.762108
| -0.64464
| -0.830221
| -1.216023
| -1.08272
| -0.597994
| -0.602816
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 2.670138
| 2.88466
| 3.103478
| 4.044016
| 4.377276
| 5.910132
| 6.793844
| 7.158953
| 8.950323
| 9.183327
| 9.349085
| 9.720121
| 9.248232
| 9.183206
| 8.279742
| 7.95997
| 8.096169
| 6.485062
| 8.029258
| 8.352047
| 8.204386
| 8.248963
| 8.471866
| 8.845934
| 10.231842
| 11.10414
| 11.976726
| 11.108058
| 10.654855
| 10.900586
| 10.720977
| 10.037544
| 8.930584
| 7.261816
| 6.247643
| 5.242871
| 4.011737
| 3.447953
| 2.453134
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0.269809
| 0.000917
| -0.083149
| -1.110633
| -1.946422
| -2.860264
| -3.268235
| -3.452131
| -4.4183
| -2.394919
| -2.984114
| -3.642344
| -3.137792
| -3.364384
| -3.187863
| -2.778268
| -2.590036
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| 1,067
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| 845
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| 724
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|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 7
|
SOFT
| 1
| 1
| 32.57
| 32
| 32
| 32
| 32
| 32
| 32
| 32
| 32
| 32
| 32
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| 3,921
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| -1,000
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| -1,000
| 603
| 598.26988
| 598
| 593
| 587
| 583.074816
| 575
| 571.7537
| 566
| 560
| 559.617848
| 550.427327
| 541
| 524.583391
| 519
| 510.524854
| 505
| -1,000
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| -1,000
| 2,376.556903
| 2,378.574444
| 2,378.680824
| 2,380.457002
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| 2,382.841111
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| 2,385.33
| 2,386.326161
| 2,387.392369
| 2,387.463333
| 2,389.241111
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| -1,000
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| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 66.194
| 66.422
| 66.434
| 66.634
| 66.794
| 66.902
| 67.114
| 67.182
| 67.294
| 67.414
| 67.422
| 67.622
| 67.734
| 67.862
| 67.914
| 68.142
| 68.234
| -1,000
| -1,000
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| -1,000
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| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 8
|
SOFT
| 1
| 1
| 128
| 131.3
| 135.3
| 137
| 144.909091
| 146.954545
| 152
| 154.45
| 159
| 159
| 159
| 175
| 175.327273
| 196.6
| 199
| 201.8
| 203
| 203
| 206.733333
| 215
| 218.2
| 221
| 222.965001
| 224
| 225.871429
| 228
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 11,156
| 10,861.933333
| 10,505.488889
| 10,354
| 10,762.109091
| 10,867.654545
| 11,128
| 11,079
| 10,988
| 10,943.866667
| 10,657
| 10,988
| 10,983.581818
| 10,696.4
| 10,664
| 10,918.8
| 11,028
| 11,242
| 11,354.311111
| 11,603
| 11,005.666667
| 10,483
| 10,614.000064
| 10,683
| 10,761.132181
| 10,850
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 65
| 67.933333
| 71.488889
| 73
| 78.8
| 80.3
| 84
| 87.15
| 93
| 93.8
| 99
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| -1,000
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| 7.83106
| 7.261542
| 7.595398
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| 9.2789
| 8.982453
| 7.85135
| 6.450186
| 3.780864
| 5.386483
| 10.762141
| 13.287394
| 12.181564
| 7.457912
| 7.247475
| 5.25641
| 4.119882
| 4.891487
| 6.770318
| 7.042649
| 5.431827
| 4.407697
| 4.210056
| 4.057209
| 3.492881
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| 4.123815
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| 4.853281
| 5.808091
| 6.209928
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| 7.284731
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| 10.250119
| 10.385105
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| 10.083289
| 8.38662
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| 5.756732
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| -1,000
| -1,000
| -1,000
| -1,000
| 1.266855
| -0.439725
| -1.61201
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| -0.169614
| -0.370903
| -0.545723
| 0.323926
| 0.708871
| 0.388795
| 0.364328
| 1.171034
| 1.394387
| 1.147116
| 0.920714
| 0.949641
| 1.042452
| 1.41831
| 1.856972
| 1.917385
| 1.009745
| 0.397873
| 0.315377
| 0.2459
| 0.221247
| 0.427203
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,000
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| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,095
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| -1,033
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| -962
| -735
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| -666
| -644.404842
| -556.913924
| -500
| -410.56267
| -349
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| -231
| -201.730452
| -136
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| -1,000
| -1,000
| -1,000
| -1,000
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| -504
| -559
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| -670
| -693
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| -795
| -905.127472
| -920
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| -1,044
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| -1,662
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| -1,925
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| -2,009
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| -1,000
| -1,000
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| -209
| -209.323043
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| -211
| -211.913549
| -213
| -214.771503
| -215
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| -216.952929
| -217
| -221
| -221.889827
| -223
| -223.38808
| -224.334321
| -225
| -226.893282
| -228
| -228.272579
| -228
| -227.675664
| -227
| -226.834915
| -1,000
| -1,000
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| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 2,498.248611
| 2,503.116534
| 2,509.252638
| 2,511.948611
| 2,521.54603
| 2,524.113179
| 2,530.526389
| 2,535.456163
| 2,544.659722
| 2,546.059592
| 2,555.259722
| 2,564.981944
| 2,565.587739
| 2,608.647579
| 2,613.626389
| 2,619.947634
| 2,622.648611
| 2,631.670833
| 2,638.197302
| 2,653.170833
| 2,664.912475
| 2,675.270833
| 2,683.40129
| 2,687.715278
| 2,695.981023
| 2,705.448611
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 73.742
| 73.874
| 74.034
| 74.102
| 74.334
| 74.394
| 74.542
| 74.654
| 74.862
| 74.894
| 75.102
| 75.302
| 75.314
| 76.094
| 76.182
| 76.294
| 76.342
| 76.502
| 76.614
| 76.862
| 77.054
| 77.222
| 77.353
| 77.422
| 77.553
| 77.702
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 9
|
SOFT
| 1
| 1
| 202
| 184.675
| 181
| 175.5
| 171.333333
| 166
| 161
| 160.5
| 151
| 148.542857
| 147
| 145.48
| 145
| 140.7
| 140
| 138
| 137.4
| 136
| 133.35
| 133
| 130
| 130.66
| 130.86
| 131
| 132.8
| 133
| 135.7
| 136
| 137.177778
| 138
| 138.490909
| 140.945455
| 141
| 143
| 143.06
| 144.155
| 145
| 145.129167
| 146
| 146
| 146
| 147.76569
| 148
| 151.9
| 153
| 157.208617
| 161
| 161.91
| 167.51
| 168
| 10,180
| 9,944.875
| 9,895
| 9,882.9
| 9,873.733333
| 9,862
| 9,634
| 9,690
| 10,754
| 10,553.742857
| 10,428
| 10,261.56
| 10,209
| 10,096.34
| 10,078
| 9,897
| 9,843.9
| 9,720
| 9,661.7
| 9,654
| 9,621
| 9,650.7
| 9,659.7
| 9,666
| 9,759.6
| 9,770
| 9,976.1
| 9,999
| 10,119.133333
| 10,203
| 10,222.636364
| 10,320.818182
| 10,323
| 10,528
| 10,528.24
| 10,532.620001
| 10,536
| 10,540.262509
| 10,569
| 10,734.387581
| 10,771
| 10,905.192473
| 10,923
| 11,224.86
| 11,310
| 11,520.43087
| 11,710
| 11,570.64
| 10,713.04
| 10,638
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 2.58
| 3
| 9
| 11.7
| 18
| 24.183333
| 25
| 34
| 38.62
| 40.02
| 41
| 46.4
| 47
| 47
| 47
| 46.411111
| 46
| 45.836364
| 45.018182
| 45
| 46
| 46
| 46
| 46
| 46.129167
| 47
| 49.456251
| 50
| 51.76569
| 52
| 55.12
| 56
| 58.104309
| 60
| 60.13
| 60.93
| 61
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -22.301561
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| -5.18137
| -3.339438
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| -2.753172
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| -3.035586
| -2.528095
| -0.907725
| 0.446575
| 1.56746
| 1.765873
| 2.261905
| 2.612434
| 2.521189
| 2.076597
| 1.637198
| 1.698381
| 1.815291
| 1.72889
| 1.56054
| 1.39219
| 1.388889
| 1.376929
| 1.299768
| 1.073961
| 0.622957
| 0.918363
| 1.456041
| 2.581942
| 3.058142
| 3.819367
| 4.37315
| 4.883609
| 4.967921
| 4.908607
| 4.861111
| 4.861111
| 1.429502
| 2.796922
| 7.835228
| 12.704925
| 14.495352
| 18.03425
| 20.872334
| 23.164709
| 24.290216
| 26.008176
| 27.833561
| 25.424394
| 24.074188
| 23.814577
| 23.243903
| 22.587355
| 21.648746
| 23.027573
| 25.681187
| 23.895615
| 24.471378
| 23.78361
| 24.843313
| 25.218237
| 24.856042
| 28.53564
| 27.149707
| 23.296619
| 23.86871
| 22.15384
| 21.800885
| 20.010076
| 18.321089
| 18.502246
| 15.304195
| 16.689452
| 15.244948
| 15.713197
| 17.344572
| 17.446911
| 19.300387
| 19.894967
| 22.825118
| 22.531582
| 20.942812
| 22.254494
| 19.325151
| 15.277172
| 12.145902
| 10.592183
| -0.182012
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| -0.563306
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| -0.319236
| -0.375498
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| -0.241429
| -0.174556
| -0.091924
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| -0.318945
| -0.082823
| 0.958831
| 3.510962
| -1.840281
| -3.571747
| -3.211765
| -2.583839
| -1.051599
| 3.15099
| 5.578725
| 8.712928
| 8.251031
| 14.696097
| 17.135699
| 16.392427
| 15.481305
| 14.346746
| 11.249154
| 9.042201
| 4.893758
| 2.75646
| 1.704937
| 1.350062
| 1.80333
| 1.790649
| 1.139228
| 0.254411
| 0.114459
| 0.326081
| 0.239981
| 0.156253
| -0.056197
| -0.193783
| -0.095838
| 0.257648
| 4,678.028877
| 4,743
| 4,756.19724
| 4,816
| 4,860
| 4,920.197461
| 5,018.327575
| 5,024
| 5,126.400876
| 5,189
| 5,219.085841
| 5,260
| 5,275.930447
| 5,344
| 5,356.375771
| 5,451.673067
| 5,483
| 5,544.315123
| 5,602
| 5,608.365064
| 5,663.91717
| 5,688
| 5,696
| 5,701.534608
| 5,746
| 5,750.097911
| 5,779
| 5,781.397927
| 5,794
| 5,795.907043
| 5,794
| 5,761
| 5,760.260963
| 5,725.514549
| 5,724
| 5,687
| 5,643.088647
| 5,636
| 5,604.060938
| 5,571
| 5,560.281765
| 5,468
| 5,459.708384
| 5,406
| 5,368.127003
| 5,244
| 5,193.808083
| 5,183
| 5,037
| 5,005.829675
| -5,209.496968
| -5,235
| -5,240.233233
| -5,264
| -5,281
| -5,302.811517
| -5,331.791167
| -5,333
| -5,344.16411
| -5,343
| -5,339.907274
| -5,332
| -5,328.491584
| -5,310
| -5,305.609418
| -5,263.715355
| -5,247
| -5,207.379843
| -5,160
| -5,154.349407
| -5,095.701859
| -5,062
| -5,050
| -5,041.434484
| -4,961
| -4,951.807106
| -4,862
| -4,850.12288
| -4,757
| -4,712.636601
| -4,687
| -4,493
| -4,489.647268
| -4,390.442699
| -4,387
| -4,307
| -4,228.223812
| -4,216
| -4,163.956979
| -4,123
| -4,110.407931
| -4,005
| -3,995.5157
| -3,949
| -3,926.502436
| -3,858
| -3,841.594708
| -3,839
| -3,810
| -3,806.41921
| -228.919006
| -229
| -229.00682
| -229
| -229
| -229.249859
| -229.963175
| -230
| -230.547334
| -231
| -231.383213
| -232
| -232.197181
| -233
| -233.168251
| -234.600509
| -235
| -235.488738
| -236
| -236.137524
| -237.948028
| -236
| -235
| -234.466952
| -235
| -235.046349
| -234
| -233.814954
| -232
| -229.967414
| -229
| -226
| -225.967748
| -225.080445
| -225
| -223
| -222.090942
| -222
| -221.929073
| -222
| -222.000172
| -222
| -222.042855
| -223
| -223.15105
| -223
| -222.086242
| -222
| -223
| -223.03328
| 3,279.341667
| 3,286.02108
| 3,287.386111
| 3,293.637205
| 3,298.192974
| 3,303.986111
| 3,312.930556
| 3,313.451239
| 3,322.997222
| 3,330.038949
| 3,334.430556
| 3,340.575717
| 3,342.486111
| 3,349.184261
| 3,350.263889
| 3,357.930556
| 3,360.667773
| 3,366.997222
| 3,374.840594
| 3,375.863889
| 3,387.419444
| 3,392.213468
| 3,393.67329
| 3,394.697222
| 3,403.996496
| 3,405.041667
| 3,414.554844
| 3,415.619444
| 3,423.715558
| 3,429.419444
| 3,432.213059
| 3,446.336973
| 3,446.652778
| 3,462.541667
| 3,463.021835
| 3,471.822924
| 3,478.652778
| 3,479.908427
| 3,488.386111
| 3,493.695347
| 3,494.875
| 3,503.537962
| 3,504.700556
| 3,517.889595
| 3,521.700556
| 3,531.955316
| 3,541.423056
| 3,543.808702
| 3,558.758581
| 3,560.089722
| 85.782
| 85.914
| 85.942
| 86.074
| 86.174
| 86.302
| 86.502
| 86.514
| 86.742
| 86.914
| 87.022
| 87.174
| 87.222
| 87.394
| 87.422
| 87.622
| 87.694
| 87.862
| 88.074
| 88.102
| 88.422
| 88.554
| 88.594
| 88.622
| 88.874
| 88.902
| 89.154
| 89.182
| 89.394
| 89.542
| 89.614
| 89.974
| 89.982
| 90.382
| 90.394
| 90.613
| 90.782
| 90.813
| 91.022
| 91.153
| 91.182
| 91.393
| 91.421
| 91.733
| 91.821
| 92.053
| 92.262
| 92.314
| 92.634
| 92.662
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 10
|
SOFT
| 1
| 1
| 217
| 221
| 221.3
| 222.9875
| 224
| 226
| 226.55
| 227
| 227.72
| 229
| 229.96
| 230
| 226
| 225.22
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 11,429
| 10,449
| 10,457
| 10,502
| 10,529
| 10,705
| 10,729.2
| 10,749
| 10,763.04
| 10,788
| 10,880.16
| 10,884
| 10,552
| 10,515.7
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 100
| 93.28
| 93
| 13
| 12.22
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 4.920644
| 4.631293
| 3.809799
| 2.776914
| 2.717458
| 2.235205
| 1.796254
| 1.91358
| 2.175926
| 2.037037
| -1.071429
| -4.292789
| -10.774271
| -14.61025
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| 0.030206
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| 0.473297
| 0.590907
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| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
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| -1,000
| 3,504.75573
| 3,431.137367
| 3,404
| 3,207
| 3,132.09852
| 3,094.053899
| 3,046
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| 2,937
| 2,868.123728
| 2,746
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| -1,000
| 3,703.411944
| 3,713.234167
| 3,715.211063
| 3,726.394707
| 3,733.145278
| 3,743.189722
| 3,751.498798
| 3,758.323056
| 3,762.890991
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| 3,783.314517
| 3,783.823056
| 3,793.8675
| 3,794.60179
| -1,000
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| -1,000
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| -1,000
| -1,000
| -1,000
| 95.302
| 95.462
| 95.494
| 95.674
| 95.782
| 95.942
| 96.074
| 96.182
| 96.254
| 96.382
| 96.574
| 96.582
| 96.742
| 96.754
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| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 11
|
SOFT
| 1
| 1
| 200
| 197.768747
| 193
| 177
| 176.642498
| 173.392498
| 165.592498
| 164
| 157.069638
| 156
| 152.411214
| 150
| 147.779999
| 146
| 135.855556
| 135
| 128
| 126.5375
| 119.225
| 119
| 113.266667
| 111
| 107.7
| 106
| 102
| 102
| 102
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 9,971
| 10,155.556482
| 10,550
| 9,509
| 9,520.522567
| 9,625.272567
| 9,876.672567
| 9,928
| 9,553.760435
| 9,496
| 9,217.270972
| 9,030
| 8,889.029919
| 8,776
| 8,279.844444
| 8,238
| 8,881
| 8,803.8125
| 8,417.875
| 8,406
| 8,071.316667
| 7,939
| 7,756.18
| 7,662
| 7,457
| 7,809.8
| 7,961
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
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| -1,000
| -1,000
| -1,000
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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| -1,000
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| -1,000
| -1,000
| -1,000
| -1,000
| -15.688174
| -14.152248
| -13.109299
| -12.067634
| -10.594301
| -9.027779
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| -7.264697
| -6.05267
| -5.591279
| -5.314668
| -5.369289
| -6.261187
| -7.303671
| -8.165873
| -8.226712
| -8.001661
| -7.891774
| -8.27332
| -8.755573
| -8.728567
| -7.978395
| -6.861295
| -5.471219
| -3.156405
| -4.303181
| -6.484552
| -1,000
| -1,000
| -1,000
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| -1,000
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| -1,000
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| -1,000
| -1,000
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| -1,000
| -1,000
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| -10.014683
| -9.37803
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| -14.326857
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| -0.127878
| 0.753988
| 0.697803
| 0.234871
| 0.112375
| 0.329066
| 1.318025
| 2.021822
| 0.893948
| -0.363739
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| 0.132681
| 0.092978
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| 2,395
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| 2,237
| 2,199
| 2,063
| 2,043.891488
| 1,992
| 1,981.117498
| 1,921
| 1,867.680879
| 1,826
| 1,802.583981
| 1,765
| 1,761.755425
| 1,729.797023
| 1,723
| 1,693
| 1,692.232877
| 1,676
| 1,667.035728
| 1,649
| 1,643.115845
| 1,637.691317
| 1,633
| 1,629.865529
| -1,000
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| -1,000
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| -3,302
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| -3,195
| -3,167
| -3,061
| -3,045.558119
| -2,997
| -2,986.371783
| -2,924
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| -2,803
| -2,769.839059
| -2,698
| -2,691.198957
| -2,623.120009
| -2,607
| -2,525
| -2,522.699495
| -2,470
| -2,438.056792
| -2,372
| -2,350.320525
| -2,328.756755
| -2,306
| -2,290.809696
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -232.069465
| -232
| -232.056317
| -232.987554
| -233
| -233
| -232
| -231.903538
| -232
| -231.85029
| -231
| -230.879916
| -231
| -231.171117
| -232
| -232.033114
| -232.041078
| -232
| -232
| -232.032044
| -233
| -233.119931
| -233
| -232.962402
| -232.980911
| -233
| -233.003995
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 3,816.811944
| 3,819.581807
| 3,825.389722
| 3,841.123056
| 3,841.641671
| 3,846.305581
| 3,857.16863
| 3,859.345278
| 3,872.860765
| 3,874.901944
| 3,882.949706
| 3,888.276944
| 3,892.820978
| 3,896.388056
| 3,908.870621
| 3,909.888056
| 3,918.421389
| 3,920.204239
| 3,928.745152
| 3,928.999167
| 3,934.341118
| 3,936.399167
| 3,940.31551
| 3,942.288056
| 3,947.954722
| 3,951.152341
| 3,952.488056
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 97.142
| 97.193
| 97.302
| 97.622
| 97.633
| 97.733
| 97.973
| 98.022
| 98.333
| 98.381
| 98.573
| 98.702
| 98.813
| 98.902
| 99.234
| 99.262
| 99.502
| 99.554
| 99.814
| 99.822
| 99.994
| 100.062
| 100.194
| 100.262
| 100.462
| 100.574
| 100.622
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
|
Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 12
|
SOFT
| 1
| 1
| 54.6
| 54
| 53.045
| 52.045
| 52
| 51.370833
| 50.2875
| 50
| 49.521303
| 49
| 48.640898
| 47.44389
| 47
| 47
| 47
| 47
| 47
| 47
| 47
| 47.733333
| 49
| 49.96
| 50
| 51.6125
| 53
| 54.15
| 55
| 55.933333
| 57
| 58.65
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 4,481.9
| 4,418
| 4,361.177481
| 4,301.677481
| 4,299
| 4,298.370833
| 4,297.2875
| 4,297
| 4,118.924781
| 3,925
| 3,970.426441
| 4,121.847912
| 4,178
| 4,092.9
| 3,956
| 3,959.35
| 4,015.183333
| 4,023
| 4,022
| 4,027.866667
| 4,038
| 4,223.28
| 4,231
| 4,376.125
| 4,501
| 4,649.925
| 4,760
| 4,882.733333
| 5,023
| 5,224.3
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.359102
| 1.55611
| 2
| 3.15
| 5
| 5
| 5
| 5
| 6
| 6.733333
| 8
| 8.96
| 9
| 10.6125
| 12
| 12
| 12
| 14.8
| 18
| 19.1
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
| -1,000
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| 0
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Abu Dhabi Grand Prix
|
Race
|
ALB
| 1
| 13
|
SOFT
| 1
| 1
| 74.51
| 75
| 78.028571
| 79
| 80.65
| 81
| 81
| 81
| 81
| 81
| 81
| 81
| 81
| 81
| 81
| 81
| 82
| 83.32
| 84
| 85
| 86.091667
| 87
| 88
| 88.137501
| 91
| 92.510001
| 93
| 94.144654
| 95
| 98.017794
| 99
| 103.8
| 108
| 108.9
| 110
| 116
| -1,000
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| -1,000
| -1,000
| 6,468.92
| 6,507
| 6,781.842857
| 6,870
| 6,868.35
| 6,868
| 6,978.94
| 6,997
| 6,867
| 6,868.533333
| 6,871
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| 6,925
| 6,933.34
| 7,044.54
| 7,064
| 7,156
| 7,279.42
| 7,343
| 7,343
| 7,426.512541
| 7,496
| 7,570
| 7,586.68343
| 7,934
| 8,017.050035
| 8,044
| 8,257.478052
| 8,417
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| 8,686
| 9,111.066667
| 9,483
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| 9,640
| 10,083
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| -1,000
| -1,000
| -1,000
| -1,000
| 23.93
| 24
| 22.485714
| 22
| 17.875
| 17
| 12.7
| 12
| 10
| 10
| 10
| 11.842857
| 13
| 13.3
| 17.3
| 18
| 21
| 21
| 21
| 21
| 21.545834
| 22
| 24
| 24
| 24
| 27.775002
| 29
| 30.716982
| 32
| 38.035589
| 40
| 43.733333
| 47
| 48.8
| 51
| 53
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|
Readme Dataset
This dataset is used in RacingDNA.
Dataset Overview This repository includes:
- 2024-2025 Curve Dataset: Includes Race and Qualifying sessions.
- Normalization: Data is already processed and normalized (see below).
- 2025 Raw Data: Raw data from the 2025 season is included.
Credits: Raw telemetry data is sourced from TracingInsights on Hugging Face.
Dataset Structure
The dataset is a CSV file where each row represents a specific curve taken by a driver in a given lap.
Identification Columns
The first columns provide metadata for the event and the curve:
GrandPrix: Grand Prix.Session: Session (e.g., Race).Driver: Driver (e.g., ALB).Lap: Lap number.CornerID: Numeric identifier of the curve.Compound: Tire compound.TireLife: Tire life.Stint: Stint number.
Telemetry Data (Time Series)
The subsequent columns contain telemetry data sampled within the curve. Each feature has 50 dedicated columns (indexed 0 to 49), corresponding to time samples.
The included features are:
speed_[0-49]: Speed.rpm_[0-49]: Engine RPM.throttle_[0-49]: Throttle percentage.brake_[0-49]: Brake percentage.acc_x,acc_y,acc_z_[0-49]: Accelerations along the three axes.x,y,z_[0-49]: Spatial coordinates.distance_[0-49]: Distance traveled in the lap.time_[0-49]: Lap timestamp.
Padding
The dataset uses padding to ensure a fixed size of 50 points per curve.
- Padding Value:
-1000.0 - If a curve has fewer than 50 sampled points, the remaining values are filled with
-1000.0.
Curve Extraction Logic
The logic for identifying and "cutting" curves from the continuous telemetry stream is defined in src/analysis/CurveDetector.py. The process aims to isolate driver behavior in each single curve while ensuring structural consistency for the dataset.
The process occurs in 4 main phases:
1. Search Window Definition (Spatial Bounding Box)
For each known curve (defined in the corners.json file), the algorithm restricts analysis to a specific portion of the track to avoid false positives from other curves.
- The time index corresponding to the geometric apex point of the curve (the trajectory point closest to the theoretical apex X,Y coordinates) is identified.
- A search window (
lower_boundandupper_bound) is defined based on distance traveled (distance):- Window Start: Typically 150 meters before the apex (or halfway to the previous curve if very close).
- Window End: Typically 250 meters after the apex (or halfway to the next curve).
2. Physical Detection (G-Force Thresholds)
Within this spatial window, the algorithm searches for the actual start and end of the cornering action by analyzing lateral acceleration (acc_y).
- Smoothing: The
acc_ysignal is first filtered with a moving average (3-sample window) to reduce noise. - Curve Entry: Triggered when
|acc_y_smooth| > 3.0 G. - Curve Exit: Deactivated when
|acc_y_smooth| < 2.5 G. Using two different thresholds (Hysteresis) prevents premature exits due to small fluctuations in G-force during cornering.
3. Apex Validation
A sequence of points identified as a "curve" in the previous step is considered valid only if it includes the apex index.
- If the algorithm detects a G-force peak that starts and ends before the apex, it is discarded.
- This ensures that the extracted data is actually related to traversing the target curve and not to adjacent corrections or maneuvers.
4. Cutting and Centering (Clamping)
To standardize the sequence length for neural network input, a hard cut (Clamping) is applied based on the apex position.
- Regardless of what is detected with G-forces, the extracted curve cannot extend beyond 25 samples before and after the apex.
- Start: If the detected entry is more than 25 samples before the apex, it is cut to
apex - 25. - End: If the detected exit is more than 25 samples after the apex, it is cut to
apex + 25.
Final Result
The result is a time window of maximum 50 samples (slice [start:end]) centered on the apex.
- If the curve is very long and fast, it will be truncated at the +/- 25 margins.
- If the curve is short (e.g., slow chicane or quick exit), the window will be fewer than 50 samples. In this case, the padding (
-1000.0values) described above intervenes to fill the empty columns up to 50.
Data Normalization
Data normalization is handled by the src/analysis/dataset_normalization.py script and follows specific logic to preserve the temporal and structural consistency of the curves.
1. Grouping by Feature (Grouped Stats)
Columns representing the same physical quantity over time (e.g., from speed_0 to speed_49) are treated as a single group.
- Instead of calculating mean and standard deviation for each individual time column (which could introduce artifacts if the distribution varies along the curve), a global statistic is calculated for the entire feature.
- Example: The mean of
speedis calculated on all samples of all curves (all rows, columns 0-49).
2. Padding Management
During statistics calculation and normalization, padding values (-1000.0) are strictly ignored.
- Statistics Calculation: Padding values are replaced with
NaNbefore calculating mean and standard deviation to avoid skewing results. - Normalized Output: In the final normalized dataset, padding values are explicitly set to 0.0. This is important for neural network input (especially if using masking or zero-padding mechanisms).
3. Z-Score Normalization
The normalization applied is Z-Score (Standardization): [ x_{norm} = \frac{x - \mu}{\sigma} ] Where $\mu$ and $\sigma$ are the global mean and standard deviation of the feature group to which $x$ belongs.
4. Categorical Variable Encoding
The Compound column undergoes different treatment:
- One-Hot Encoding is applied for categories:
HARD,INTERMEDIATE,WET,MEDIUM,SOFT. - This generates 5 additional binary columns (e.g.,
Compound_SOFT,Compound_MEDIUM...) which are not Z-Score normalized (remaining 0/1).
The result is saved in an .npz file containing:
data: Matrix of normalized data.mask: Binary matrix (1=valid, 0=padding).mean,std: Vectors to denormalize data (e.g., to reconstruct original curves).
Readme Dataset (Italiano)
Questo dataset è utilizzato in RacingDNA.
Dataset Overview Questa repository include:
- Dataset curve 2024-2025: Include sessioni di Gara e Qualifica.
- Normalizzazione: I dati sono già processati e normalizzati (vedi sotto).
- Dati Raw 2025: Sono inclusi i dati grezzi della stagione 2025.
Credits: I dati raw telemetrici provengono da TracingInsights su Hugging Face.
Struttura del Dataset
Il dataset è un file CSV dove ogni riga rappresenta una specifica curva percorsa da un pilota in un determinato giro.
Colonne Identificative
Le prime colonne forniscono i metadati dell'evento e della curva:
GrandPrix: Gran Premio.Session: Sessione (es. Race).Driver: Pilota (es. ALB).Lap: Numero del giro.CornerID: Identificativo numerico della curva.Compound: Mescola delle gomme.TireLife: Vita delle gomme.Stint: Numero dello stint.
Dati Telemetrici (Time Series)
Le colonne successive contengono i dati telemetrici campionati all'interno della curva. Ogni feature ha 50 colonne dedicate (da indice 0 a 49), corrispondenti ai campioni temporali.
Le feature incluse sono:
speed_[0-49]: Velocità.rpm_[0-49]: Giri motore.throttle_[0-49]: Percentuale acceleratore.brake_[0-49]: Percentuale freno.acc_x,acc_y,acc_z_[0-49]: Accelerazioni lungo i tre assi.x,y,z_[0-49]: Coordinate spaziali.distance_[0-49]: Distanza percorsa nel giro.time_[0-49]: Timestamp del giro.
Padding
Il dataset utilizza padding per garantire una dimensione fissa di 50 punti per curva.
- Valore di padding:
-1000.0 - Se una curva ha meno di 50 punti campionati, i valori rimanenti vengono riempiti con
-1000.0.
Logica di Estrazione delle Curve
La logica con cui vengono individuate e "tagliate" le curve dal flusso telemetrico continuo è definita in src/analysis/CurveDetector.py. Il processo mira a isolare il comportamento del pilota in ogni singola curva, garantendo al contempo una consistenza strutturale per il dataset.
Il processo avviene in 4 fasi principali:
1. Definizione della Finestra di Ricerca (Bounding Box Spaziale)
Per ogni curva nota (definita nel file corners.json), l'algoritmo restringe l'analisi a una specifica porzione del tracciato per evitare falsi positivi da altre curve.
- Viene identificato l'indice temporale corrispondente al punto geometrico dell'apice della curva (il punto della traiettoria più vicino alle coordinate X,Y dell'apice teorico).
- Viene definita una finestra di ricerca (
lower_boundeupper_bound) basata sulla distanza percorsa (distance):- Inizio finestra: Tipicamente 150 metri prima dell'apice (o a metà strada con la curva precedente se molto vicina).
- Fine finestra: Tipicamente 250 metri dopo l'apice (o a metà strada con la curva successiva).
2. Rilevamento Fisico (Soglie G-Force)
All'interno di questa finestra spaziale, l'algoritmo cerca l'inizio e la fine effettiva dell'azione in curva analizzando l'accelerazione laterale (acc_y).
- Smoothing: Il segnale
acc_yviene prima filtrato con una media mobile (finestra di 3 campioni) per ridurre il rumore. - Ingresso Curva: Si attiva quando
|acc_y_smooth| > 3.0 G. - Uscita Curva: Si disattiva quando
|acc_y_smooth| < 2.5 G. L'uso di due soglie diverse (Isteresi) previene uscite premature dovute a piccole fluttuazioni del segnale G durante la percorrenza.
3. Validazione dell'Apice
Una sequenza di punti identificata come "curva" nel passaggio precedente viene considerata valida solo se include l'indice dell'apice.
- Se l'algoritmo rileva un picco di G-force che inizia e finisce prima dell'apice, viene scartato.
- Questo assicura che i dati estratti siano effettivamente relativi alla percorrenza della curva target e non a correzioni o manovre adiacenti.
4. Taglio e Centratura (Clamping)
Per uniformare la lunghezza delle sequenze da dare in pasto alla rete neurale, viene applicato un taglio rigido (Clamping) basato sulla posizione dell'apice.
- Indipendentemente da quanto rilevato con le forze G, la curva estratta non può estendersi oltre 25 campioni prima e dopo l'apice.
- Start: Se l'ingresso rilevato è oltre 25 campioni prima dell'apice, viene tagliato a
apice - 25. - End: Se l'uscita rilevata è oltre 25 campioni dopo dell'apice, viene tagliata a
apice + 25.
Risultato Finale
Il risultato è una finestra temporale di massimo 50 campioni (slice [start:end]) centrata sull'apice.
- Se la curva è molto lunga e veloce, verrà troncata ai margini +/- 25.
- Se la curva è breve (es. chicane lenta o uscita rapida), la finestra sarà inferiore ai 50 campioni. In questo caso, interviene il padding (valori
-1000.0) descritto sopra per riempire le colonne vuote fino ad arrivare a 50.
Normalizzazione dei Dati
La normalizzazione dei dati è gestita dallo script src/analysis/dataset_normalization.py e segue una logica specifica per preservare la consistenza temporale e strutturale delle curve.
1. Raggruppamento per Feature (Grouped Stats)
Le colonne che rappresentano la stessa grandezza fisica nel tempo (es. da speed_0 a speed_49) vengono trattate come un unico gruppo.
- Invece di calcolare media e deviazione standard per ogni singola colonna temporale (che potrebbe introdurre artefatti se la distribuzione varia lungo la curva), viene calcolata una statistica globale per l'intera feature.
- Esempio: La media di
speedè calcolata su tutti i campioni di tutte le curve (tutte le righe, colonne 0-49).
2. Gestione del Padding
Durante il calcolo delle statistiche e la normalizzazione, i valori di padding (-1000.0) vengono rigorosamente ignorati.
- Calcolo Statistiche: I valori di padding vengono sostituiti con
NaNprima di calcolare media e deviazione standard, per non falsare i risultati. - Output Normalizzato: Nel dataset finale normalizzato, i valori di padding vengono impostati esplicitamente a 0.0. Questo è importante per l'input delle reti neurali (soprattutto se si usano meccanismi di mascheramento o zero-padding).
3. Z-Score Normalization
La normalizzazione applicata è di tipo Z-Score (Standardizzazione): [ x_{norm} = \frac{x - \mu}{\sigma} ] Dove $\mu$ e $\sigma$ sono la media e deviazione standard globali del gruppo di feature a cui appartiene $x$.
4. Encoding delle Variabili Categoriche
La colonna Compound (mescola) subisce un trattamento diverso:
- Viene applicato One-Hot Encoding per le categorie:
HARD,INTERMEDIATE,WET,MEDIUM,SOFT. - Questo genera 5 colonne binarie aggiuntive (es.
Compound_SOFT,Compound_MEDIUM...) che non vengono normalizzate con Z-Score (rimangono 0/1).
Il risultato è salvato in un file .npz che contiene:
data: Matrice dei dati normalizzati.mask: Matrice binaria (1=valido, 0=padding).mean,std: Vettori per poter denormalizzare i dati (es. per ricostruire le curve originali).
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