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24679_NFL_WR_Dataset_2023

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game_id
string
receiver_player_id
string
receiver_player_name
string
passer_player_id
string
defteam
int64
targets
float64
receptions
float64
receiving_yards
float64
air_yards
float64
yac
float64
tds
float64
epa
float64
wpa
float64
avg_depth
float64
catch_rate
float64
posteam
int64
team_pass_attempts
float64
team_air_yards
float64
team_epa
float64
air_yard_share
float64
target_share
float64
yards_per_target
float64
def_targets_dev
float64
def_receptions_dev
float64
def_yards_dev
float64
def_tds_dev
float64
def_epa_dev
float64
red_zone_targets
int64
end_zone_targets
int64
third_down_targets
int64
fourth_down_targets
int64
high_leverage_targets
int64
qb_completions
float64
qb_attempts
float64
qb_air_yards
float64
qb_cpoe
float64
qb_comp_pct
float64
avg_score_diff
float64
avg_quarter
float64
adot
float64
yac_per_reception
float64
td_rate
float64
explosive_plays
float64
first_downs
float64
trailing_pct
float64
leading_pct
float64
wp_var
float64
target_share_std
float64
surface
int64
is_dome
int64
is_rain
int64
is_snow
int64
is_clear
int64
temp_f
float64
humidity_pct
float64
wind_mph
float64
success_rate
float64
big_play_rate
float64
reception_std
float64
second_and_long_targets
float64
third_and_medium_targets
float64
avg_start_yardline
float64
avg_target_depth_vs_qb
float64
yards_Q1
float64
yards_Q2
float64
yards_Q3
float64
yards_Q4
float64
receptions_Q1
float64
receptions_Q2
float64
receptions_Q3
float64
receptions_Q4
float64
targets_Q1
float64
targets_Q2
float64
targets_Q3
float64
targets_Q4
float64
lost_yards_due_to_penalty
float64
yards_wp_<25
float64
yards_wp_25_45
float64
yards_wp_45_55
float64
yards_wp_55_75
float64
yards_wp_>75
float64
yards_wp_NA
int64
receptions_wp_<25
float64
receptions_wp_25_45
float64
receptions_wp_45_55
float64
receptions_wp_55_75
float64
receptions_wp_>75
float64
receptions_wp_NA
int64
targets_wp_<25
int64
targets_wp_25_45
int64
targets_wp_45_55
int64
targets_wp_55_75
int64
targets_wp_>75
int64
targets_wp_NA
int64
home_team
int64
away_team
int64
pregame_spread
float64
pregame_total
float64
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44.5
2023_01_BUF_NYJ
00-0034270
T.Conklin
00-0037013
4
1
1
2
-2
4
0
-0.475218
-0.009072
-2
1
4
39
316
5.10084
-0.006329
0.025641
2
0.948978
0.970845
0.912069
0.823918
0.505759
0
0
0
0
0
14
18
4.166667
6.418682
0.777778
3
2
-2
4
0
0
0
0
1
0
0.06393
0
0
1
0
0
72
88
3
1
0
0
0
0
74
-6.166667
0
2
0
0
0
1
0
0
0
1
0
0
0
2
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0034521
A.Lazard
00-0037013
4
4
2
46
37
23
0
4.151035
0.137281
9.25
0.5
4
39
316
5.10084
0.117089
0.102564
11.5
0.948978
0.970845
0.912069
0.823918
0.505759
0
0
2
0
3
14
18
4.166667
6.418682
0.777778
4.5
2.75
9.25
11.5
0
2
2
0
0.75
0.014192
0.093638
0
0
1
0
0
72
88
3
0.5
0.5
1.414214
1
1
68.25
5.083333
22
0
0
24
1
0
0
1
1
0
2
1
0
24
22
0
0
0
0
1
1
0
0
0
0
3
1
0
0
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0035215
D.Harty
00-0034857
25
4
3
9
49
25
0
-0.521451
-0.016266
12.25
0.75
4
39
316
5.10084
0.155063
0.102564
2.25
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
1
0
0
29
39
8.102564
7.83062
0.74359
0.75
1.25
12.25
8.333333
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0
1
0
0.25
0.002511
0.043634
0
0
1
0
0
72
88
3
1
0
2
1
0
69
4.147436
9
0
0
0
3
0
0
0
3
1
0
0
0
0
0
1
8
0
0
0
0
1
2
0
0
0
0
1
3
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0035657
D.Harris
00-0034857
25
2
2
16
0
16
0
0.534958
0.021389
0
1
4
39
316
5.10084
0
0.051282
8
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
1
0
1
29
39
8.102564
7.83062
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6.5
2.5
0
8
0
0
0
0
0.5
0.055242
0.042306
0
0
1
0
0
72
88
3
1
0
7.071068
1
0
56
-8.102564
13
0
0
3
1
0
0
1
1
0
0
1
0
0
0
0
13
3
0
0
0
0
1
1
0
0
0
0
1
1
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0035689
D.Knox
00-0034857
25
4
3
25
28
10
0
1.214011
-0.017747
7
0.75
4
39
316
5.10084
0.088608
0.102564
6.25
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
0
0
0
29
39
8.102564
7.83062
0.74359
7.25
2.5
7
3.333333
0
0
1
0
0.5
0.018534
0.059099
0
0
1
0
0
72
88
3
0.75
0
5.859465
2
0
61.5
-1.102564
10
0
15
0
2
0
1
0
2
0
1
1
0
0
0
0
10
15
0
0
0
0
2
1
0
0
1
0
2
1
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0036196
G.Davis
00-0034857
25
4
2
32
70
8
0
-1.500858
-0.026445
17.5
0.5
4
39
316
5.10084
0.221519
0.102564
8
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
1
0
1
29
39
8.102564
7.83062
0.74359
10.5
3.5
17.5
4
0
1
2
0
1
0.081891
0.097365
0
0
1
0
0
72
88
3
0.5
0.25
14.142136
2
0
48.5
9.397436
0
26
0
6
0
1
0
1
0
1
0
3
0
0
6
0
26
0
0
0
1
0
1
0
0
0
2
0
1
1
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0036924
Mi.Carter
00-0037013
4
2
2
12
5
7
0
-1.324572
-0.027027
2.5
1
4
39
316
5.10084
0.015823
0.051282
6
0.948978
0.970845
0.912069
0.823918
0.505759
0
0
2
0
1
14
18
4.166667
6.418682
0.777778
3
2
2.5
3.5
0
0
0
0
0.5
0.067178
0.049344
0
0
1
0
0
72
88
3
1
0
0
0
0
63.5
-1.666667
6
0
6
0
1
0
1
0
1
0
1
0
0
6
6
0
0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0037248
J.Cook
00-0034857
25
6
4
17
25
16
0
-1.945244
-0.046957
4.166667
0.666667
4
39
316
5.10084
0.079114
0.153846
2.833333
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
1
0
4
29
39
8.102564
7.83062
0.74359
9.166667
2.666667
4.166667
4
0
0
0
0
1
0.02467
0.064653
0
0
1
0
0
72
88
3
0.666667
0
1.258306
2
1
62.166667
-3.935897
0
4
7
6
0
1
2
1
0
3
2
1
0
0
0
0
4
13
0
0
0
0
1
3
0
0
0
0
2
4
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0037740
G.Wilson
00-0037013
4
5
5
34
31
3
1
3.606856
0.181332
6.2
1
4
39
316
5.10084
0.098101
0.128205
6.8
0.948978
0.970845
0.912069
0.823918
0.505759
1
0
2
0
1
14
18
4.166667
6.418682
0.777778
4.2
3
6.2
0.6
0.2
0
3
0
0.8
0.026862
0.182859
0
0
1
0
0
72
88
3
0.8
0
6.534524
1
1
46.6
2.033333
7
0
10
17
1
0
2
2
1
0
2
2
0
10
17
7
0
0
0
2
2
1
0
0
0
2
2
1
0
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0038120
Bre.Hall
00-0037013
4
2
1
20
-1
24
0
0.436604
0.001025
-0.5
0.5
4
39
316
5.10084
-0.003165
0.051282
10
0.948978
0.970845
0.912069
0.823918
0.505759
0
0
0
0
1
14
18
4.166667
6.418682
0.777778
3
3
-0.5
24
0
1
1
0
1
0.00158
0.144053
0
0
1
0
0
72
88
3
0.5
0.5
0
1
0
65.5
-4.666667
0
0
20
0
0
0
1
0
0
0
2
0
0
20
0
0
0
0
0
1
0
0
0
0
0
2
0
0
0
0
0
25
4
-2.5
44.5
2023_01_BUF_NYJ
00-0038933
D.Kincaid
00-0034857
25
4
4
26
5
21
0
1.578824
0.038381
1.25
1
4
39
316
5.10084
0.015823
0.102564
6.5
0.895071
0.844837
0.787865
0.795279
0.171127
0
0
0
0
3
29
39
8.102564
7.83062
0.74359
9
2.25
1.25
5.25
0
0
0
0
1
0.029127
0.076476
0
0
1
0
0
72
88
3
1
0
2.645751
1
0
49.5
-6.852564
0
17
9
0
0
3
1
0
0
3
1
0
0
0
0
0
8
18
0
0
0
0
1
3
0
0
0
0
1
3
0
25
4
-2.5
44.5
2023_01_CAR_ATL
00-0030035
A.Thielen
00-0039150
2
2
2
12
9
3
0
0.757165
-0.02251
4.5
1
2
18
63
0.718799
0.142857
0.111111
6
0.94601
0.917714
0.917855
1.004563
1.031178
0
0
1
0
1
20
31
7.354839
-5.514066
0.645161
5
3
4.5
1.5
0
0
1
0
0.5
0.047662
0.109142
0
0
0
0
1
72
0
0
1
0
4.242641
1
1
41
-2.854839
0
3
0
9
0
1
0
1
0
1
0
1
0
9
3
0
0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0033555
M.Hollins
00-0038122
5
4
3
31
32
1
0
0.92221
0.003198
8
0.75
2
18
63
0.718799
0.507937
0.222222
7.75
0.835035
0.83404
0.76979
0.795279
0.715843
0
0
1
0
1
15
18
3.5
6.42609
0.833333
9.5
2.5
8
0.333333
0
0
1
0
1
0.032366
0.061955
0
0
0
0
1
72
0
0
0.75
0
1.154701
2
0
72.5
4.5
0
20
0
11
0
2
0
1
0
3
0
1
0
0
0
11
0
20
0
0
0
1
0
2
0
0
0
1
1
2
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0034830
H.Hurst
00-0039150
2
7
5
41
57
13
1
-0.231039
0.012011
8.142857
0.714286
2
18
63
0.718799
0.904762
0.388889
5.857143
0.94601
0.917714
0.917855
1.004563
1.031178
2
0
1
0
1
20
31
7.354839
-5.514066
0.645161
2.428571
2.285714
8.142857
2.6
0.142857
0
3
0
0.285714
0.025746
0.077949
0
0
0
0
1
72
0
0
0.714286
0
4.658326
2
0
54.142857
0.788018
0
29
3
9
0
3
1
1
1
4
1
1
0
20
18
3
0
0
0
2
2
1
0
0
0
3
3
1
0
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0035243
M.Sanders
00-0039150
2
6
4
26
-4
27
0
0.333971
0.003748
-0.666667
0.666667
2
18
63
0.718799
-0.063492
0.333333
4.333333
0.94601
0.917714
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1.004563
1.031178
0
0
0
0
5
20
31
7.354839
-5.514066
0.645161
10
3.833333
-0.666667
6.75
0
0
1
0
1
0.062489
0.075869
0
0
0
0
1
72
0
0
0.666667
0
3.41565
2
0
62
-8.021505
0
0
3
23
0
0
1
3
0
0
1
5
0
23
0
0
3
0
0
3
0
0
1
0
0
5
0
0
1
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0035956
G.Ricci
00-0039150
2
1
1
2
-1
3
0
-0.489649
-0.018197
-1
1
2
18
63
0.718799
-0.015873
0.055556
2
0.94601
0.917714
0.917855
1.004563
1.031178
0
0
0
0
0
20
31
7.354839
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0.645161
7
3
-1
3
0
0
0
0
1
0
0.016474
0
0
0
0
1
72
0
0
1
0
0
0
0
75
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2
0
0
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1
0
0
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1
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2
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0036268
L.Shenault
00-0039150
2
2
2
16
-11
27
0
2.049319
0.037322
-5.5
1
2
18
63
0.718799
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8
0.94601
0.917714
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1.004563
1.031178
0
0
1
0
0
20
31
7.354839
-5.514066
0.645161
0
1
-5.5
13.5
0
0
1
0
0
0.000448
0.024599
0
0
0
0
1
72
0
0
1
0
8.485281
1
0
35
-12.854839
16
0
0
0
2
0
0
0
2
0
0
0
0
0
0
16
0
0
0
0
0
2
0
0
0
0
0
2
0
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0036555
C.Hubbard
00-0039150
2
2
2
9
-4
13
0
-1.136343
-0.029731
-2
1
2
18
63
0.718799
-0.063492
0.111111
4.5
0.94601
0.917714
0.917855
1.004563
1.031178
0
0
1
0
0
20
31
7.354839
-5.514066
0.645161
5
2.5
-2
6.5
0
0
0
0
0.5
0.022231
0.058176
0
0
0
0
1
72
0
0
1
0
3.535534
1
0
65
-9.354839
0
7
2
0
0
1
1
0
0
1
1
0
0
7
0
2
0
0
0
1
0
1
0
0
0
1
0
1
0
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0036955
T.Marshall
00-0039150
2
6
2
23
95
6
0
-4.276235
-0.18157
15.833333
0.333333
2
18
63
0.718799
1.507937
0.333333
3.833333
0.94601
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0
0
2
0
2
20
31
7.354839
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6.166667
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0
0
2
0
0.666667
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0.147017
0
0
0
0
1
72
0
0
0.333333
0
0.707107
1
1
69
8.478495
12
11
0
0
1
1
0
0
1
2
1
2
0
0
11
12
0
0
0
0
1
1
0
0
0
2
1
2
1
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0036970
K.Pitts
00-0038122
5
3
2
44
52
7
0
2.784815
0.076251
17.333333
0.666667
2
18
63
0.718799
0.825397
0.166667
14.666667
0.835035
0.83404
0.76979
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0
0
0
0
1
15
18
3.5
6.42609
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11.333333
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3.5
0
1
2
0
1
0.063972
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0
0
0
1
72
0
0
0.666667
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2
0
54.333333
13.833333
0
0
10
34
0
0
1
1
0
0
2
1
0
0
0
0
10
34
0
0
0
0
1
1
0
0
0
1
1
1
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0037238
D.London
00-0038122
5
1
0
0
6
0
0
-0.580535
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6
0
2
18
63
0.718799
0.095238
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0
0.835035
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0
0
0
0
15
18
3.5
6.42609
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7
2
6
0
0
0
0
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0
0.116604
0
0
0
0
1
72
0
0
0
0
0
0
0
85
2.5
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0037263
T.Allgeier
00-0038122
5
3
3
19
3
16
0
-0.650216
0.018412
1
1
2
18
63
0.718799
0.047619
0.166667
6.333333
0.835035
0.83404
0.76979
0.795279
0.715843
0
0
1
0
1
15
18
3.5
6.42609
0.833333
11.333333
3.333333
1
5.333333
0
0
1
0
1
0.057281
0.033892
0
0
0
0
1
72
0
0
0.666667
0
6.027714
0
0
62.333333
-2.5
0
0
19
0
0
0
2
1
0
0
2
1
0
0
7
0
12
0
0
0
1
0
1
1
0
0
1
0
1
1
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0038122
D.Ridder
00-0038122
5
1
1
-6
-6
0
0
-1.515348
-0.025663
-6
1
2
18
63
0.718799
-0.095238
0.055556
-6
0.835035
0.83404
0.76979
0.795279
0.715843
0
0
0
0
0
15
18
3.5
6.42609
0.833333
0
1
-6
0
0
0
0
0
0
0
0.016474
0
0
0
0
1
72
0
0
0
0
0
0
0
75
-9.5
-6
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
-6
0
0
0
0
0
1
0
0
0
0
0
1
0
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0038542
B.Robinson
00-0038122
5
6
6
27
-24
51
1
-0.242127
-0.019339
-4
1
2
18
63
0.718799
-0.380952
0.333333
4.5
0.835035
0.83404
0.76979
0.795279
0.715843
2
0
5
0
1
15
18
3.5
6.42609
0.833333
5.166667
2
-4
8.5
0.166667
0
2
0
0.5
0.017068
0.087562
0
0
0
0
1
72
0
0
0.666667
0
8.757854
0
2
47.666667
-7.5
6
4
0
17
3
2
0
1
3
2
0
1
0
0
0
7
3
17
0
0
0
1
4
1
0
0
0
1
4
1
0
2
5
3.5
40.5
2023_01_CAR_ATL
00-0039062
J.Mingo
00-0039150
2
5
2
17
87
0
0
-0.11019
-0.003879
17.4
0.4
2
18
63
0.718799
1.380952
0.277778
3.4
0.94601
0.917714
0.917855
1.004563
1.031178
0
0
3
0
1
20
31
7.354839
-5.514066
0.645161
6.2
2.6
17.4
0
0
0
1
0
0.8
0.027147
0.093514
0
0
0
0
1
72
0
0
0.4
0
0.707107
1
0
67.8
10.045161
0
9
8
0
0
1
1
0
0
3
1
1
0
0
9
8
0
0
0
0
1
1
0
0
0
1
3
1
0
0
0
2
5
3.5
40.5
2023_01_CIN_CLE
00-0030068
M.Goodwin
00-0033537
7
2
0
0
86
0
0
-2.125956
-0.049345
43
0
7
31
236
-13.301555
0.364407
0.064516
0
0.967841
0.982494
1.10925
0.962706
1.406327
0
0
1
0
0
16
29
11.344828
-6.878152
0.551724
1.5
1.5
43
0
0
0
0
0
0.5
0.00152
0.022965
0
0
0
0
1
68
83
8
0
0
0
0
0
50
31.655172
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0031544
A.Cooper
00-0033537
7
7
3
37
122
1
0
-0.547348
0.006766
17.428571
0.428571
7
31
236
-13.301555
0.516949
0.225806
5.285714
0.967841
0.982494
1.10925
0.962706
1.406327
1
0
2
0
1
16
29
11.344828
-6.878152
0.551724
2.142857
1.714286
17.428571
0.333333
0
1
2
0
0.714286
0.004067
0.091964
0
0
0
0
1
68
83
8
0.428571
0.142857
7.094599
1
0
51.714286
6.083744
20
17
0
0
1
2
0
0
2
5
0
0
0
0
0
20
17
0
0
0
0
1
2
0
0
0
0
2
5
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0033009
T.Boyd
00-0036442
8
3
2
10
8
1
0
-1.289442
-0.031003
2.666667
0.666667
7
31
236
-13.301555
0.033898
0.096774
3.333333
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
1
0
0
14
30
7.366667
-18.207104
0.466667
0
1.666667
2.666667
0.5
0
0
0
0
0
0.002389
0.076691
0
0
0
0
1
68
83
8
0.666667
0
1.414214
2
0
82.666667
-4.7
6
4
0
0
1
1
0
0
1
2
0
0
0
0
4
6
0
0
0
0
1
1
0
0
0
0
2
1
0
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0033885
D.Njoku
00-0033537
7
3
2
24
7
22
0
1.033496
0.01345
2.333333
0.666667
7
31
236
-13.301555
0.029661
0.096774
8
0.967841
0.982494
1.10925
0.962706
1.406327
1
0
0
0
2
16
29
11.344828
-6.878152
0.551724
8.666667
3
2.333333
11
0
0
1
0
1
0.011193
0.128929
0
0
0
0
1
68
83
8
0.666667
0
4.242641
1
0
54.666667
-9.011494
0
9
0
15
0
1
0
1
0
1
1
1
0
0
0
0
9
15
0
0
0
0
1
1
0
0
0
0
1
2
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0033897
J.Mixon
00-0036442
8
5
3
17
-13
23
0
-0.997813
-0.054219
-2.6
0.6
7
31
236
-13.301555
-0.055085
0.16129
3.4
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
0
0
2
14
30
7.366667
-18.207104
0.466667
0.6
2
-2.6
7.666667
0
0
0
0
0.2
0.008375
0.045168
0
0
0
0
1
68
83
8
0.6
0
4.50925
3
0
63.2
-9.966667
7
0
10
0
2
0
1
0
2
1
2
0
0
0
10
7
0
0
0
0
1
2
0
0
0
0
3
2
0
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0034364
J.Akins
00-0033537
7
1
1
12
1
11
0
1.718382
0.000206
1
1
7
31
236
-13.301555
0.004237
0.032258
12
0.967841
0.982494
1.10925
0.962706
1.406327
0
0
1
0
1
16
29
11.344828
-6.878152
0.551724
24
4
1
11
0
0
1
0
1
0
0.058629
0
0
0
0
1
68
83
8
1
0
0
0
0
78
-10.344828
0
0
0
12
0
0
0
1
0
0
0
1
0
0
0
0
0
12
0
0
0
0
0
1
0
0
0
0
0
1
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0034791
N.Chubb
00-0033537
7
4
4
21
1
20
0
0.750114
-0.010764
0.25
1
7
31
236
-13.301555
0.004237
0.129032
5.25
0.967841
0.982494
1.10925
0.962706
1.406327
0
0
0
0
0
16
29
11.344828
-6.878152
0.551724
0
1.25
0.25
5
0
0
1
0
0
0.001652
0.006292
0
0
0
0
1
68
83
8
0.75
0
5.123475
3
0
54
-11.094828
21
0
0
0
4
0
0
0
4
0
0
0
0
0
0
23
-2
0
0
0
0
3
1
0
0
0
0
3
1
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0034970
I.Smith
00-0036442
8
5
3
17
2
8
0
-4.559399
-0.101308
0.4
0.6
7
31
236
-13.301555
0.008475
0.16129
3.4
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
4
0
3
14
30
7.366667
-18.207104
0.466667
1.2
2.4
0.4
2.666667
0
0
0
0
0.4
0.028323
0.044904
0
0
0
0
1
68
83
8
0.6
0
2.516611
0
0
65.8
-6.966667
0
0
11
6
0
0
2
1
2
0
2
1
0
9
8
0
0
0
0
2
1
0
0
0
0
2
1
2
0
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036232
H.Bryant
00-0033537
7
2
2
5
4
1
1
0.062838
0.004629
2
1
7
31
236
-13.301555
0.016949
0.064516
2.5
0.967841
0.982494
1.10925
0.962706
1.406327
1
0
1
0
2
16
29
11.344828
-6.878152
0.551724
14.5
4
2
0.5
0.5
0
1
0
1
0.001703
0.05583
0
0
0
0
1
68
83
8
1
0
0.707107
0
1
15
-9.344828
0
0
0
5
0
0
0
2
0
0
0
2
0
0
0
0
0
5
0
0
0
0
0
2
0
0
0
0
0
2
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036233
D.Peoples-Jones
00-0033537
7
2
1
12
31
0
0
0.260612
-0.016327
15.5
0.5
7
31
236
-13.301555
0.131356
0.064516
6
0.967841
0.982494
1.10925
0.962706
1.406327
0
0
0
0
2
16
29
11.344828
-6.878152
0.551724
3
2
15.5
0
0
0
1
0
1
0.000581
0.050454
0
0
0
0
1
68
83
8
0.5
0
0
0
0
49
4.155172
0
12
0
0
0
1
0
0
0
2
0
0
0
0
0
0
12
0
0
0
0
0
1
0
0
0
0
0
2
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036410
T.Higgins
00-0036442
8
8
0
0
151
0
0
-7.46553
-0.19814
18.875
0
7
31
236
-13.301555
0.639831
0.258065
0
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
3
0
4
14
30
7.366667
-18.207104
0.466667
1.125
2.625
18.875
0
0
0
0
0
0.375
0.016923
0.085089
0
0
0
0
1
68
83
8
0
0
0
1
1
53.875
11.508333
0
0
0
0
0
0
0
0
1
2
4
1
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4
1
1
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036857
C.Evans
00-0036442
8
1
1
-1
-1
0
0
-1.347624
-0.000517
-1
1
7
31
236
-13.301555
-0.004237
0.032258
-1
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
1
0
1
14
30
7.366667
-18.207104
0.466667
3
4
-1
0
0
0
0
0
1
0
0.001573
0
0
0
0
1
68
83
8
0
0
0
0
1
69
-8.366667
0
0
0
-1
0
0
0
1
0
0
0
1
0
-1
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036900
J.Chase
00-0035100
8
1
0
0
15
0
0
-1.247029
0.000033
15
0
7
31
236
-13.301555
0.063559
0.032258
0
0.917508
0.825943
0.800217
1.027817
-0.096818
0
0
3
0
5
0
1
15
-36.419204
0
2
2.888889
15
3.8
0
0
3
0
0.666667
0.034373
0.127832
0
0
0
0
1
68
83
8
0.555556
0
3.193744
3
0
67.111111
1.674074
12
7
14
6
1
1
2
1
2
1
2
4
0
16
11
12
0
0
0
2
2
1
0
0
0
5
2
1
1
0
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0036980
E.Moore
00-0033537
7
7
3
43
64
7
0
-7.251435
-0.168715
9.142857
0.428571
7
31
236
-13.301555
0.271186
0.225806
6.142857
0.967841
0.982494
1.10925
0.962706
1.406327
2
0
3
0
6
16
29
11.344828
-6.878152
0.551724
6.571429
2.571429
9.142857
2.333333
0
1
2
0
0.857143
0.00355
0.09284
0
0
0
0
1
68
83
8
0.428571
0.142857
16.196707
2
0
43.285714
-2.20197
0
6
37
0
0
1
2
0
0
3
4
0
0
0
0
0
39
4
0
0
0
0
2
1
0
0
0
1
4
2
0
8
7
-1
46.5
2023_01_CIN_CLE
00-0037257
Dav.Bell
00-0033537
7
1
0
0
13
0
0
-0.39469
-0.010991
13
0
7
31
236
-13.301555
0.055085
0.032258
0
0.967841
0.982494
1.10925
0.962706
1.406327
0
0
0
0
1
16
29
11.344828
-6.878152
0.551724
3
2
13
0
0
0
0
0
1
0
0.07617
0
0
0
0
1
68
83
8
0
0
0
0
0
48
1.655172
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
8
7
-1
46.5
2023_01_DAL_NYG
00-0031236
B.Cooks
00-0033077
24
4
2
22
40
2
0
1.702459
0.005888
10
0.5
9
25
181
1.57683
0.220994
0.16
5.5
1.009683
1.001388
1.029275
0.878993
0.492612
0
0
1
1
4
13
24
6.708333
-10.1763
0.541667
21
2.25
10
1
0
0
2
0
1
0.00257
0.095405
0
0
1
0
0
74
82
3
0.5
0
7.071068
1
0
53.5
3.291667
0
22
0
0
0
2
0
0
1
2
1
0
0
0
0
0
0
22
0
0
0
0
0
2
0
0
0
0
0
4
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0031610
D.Waller
00-0035710
9
5
3
36
40
14
0
-0.842786
-0.093217
8
0.6
9
25
181
1.57683
0.220994
0.2
7.2
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
1
1
4
15
27
6.074074
-13.368914
0.555556
0
1.8
8
4.666667
0
1
2
0
0
0.018837
0.065349
0
0
1
0
0
74
82
3
0.6
0.2
8.717798
1
0
65.8
1.925926
0
36
0
0
0
3
0
0
1
4
0
0
0
36
0
0
0
0
0
3
0
0
0
0
0
5
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0032385
S.Shepard
00-0035710
9
1
0
0
11
0
0
-0.837632
-0.000013
11
0
9
25
181
1.57683
0.060773
0.04
0
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
0
1
15
27
6.074074
-13.368914
0.555556
0
3
11
0
0
0
0
0
0
0
0.04649
0
0
1
0
0
74
82
3
0
0
0
1
0
50
4.925926
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0033308
M.Breida
00-0035710
9
1
1
-3
-5
2
0
-0.930149
-0.000008
-5
1
9
25
181
1.57683
-0.027624
0.04
-3
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
0
1
15
27
6.074074
-13.368914
0.555556
0
4
-5
2
0
0
0
0
0
0
0.041016
0
0
1
0
0
74
82
3
0
0
0
1
0
62
-11.074074
0
0
0
-3
0
0
0
1
0
0
0
1
0
-3
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0034764
M.Gallup
00-0033077
24
2
1
10
36
2
0
0.430592
-0.000222
18
0.5
9
25
181
1.57683
0.198895
0.08
5
1.009683
1.001388
1.029275
0.878993
0.492612
0
0
0
0
2
13
24
6.708333
-10.1763
0.541667
26
2.5
18
2
0
0
1
0
1
0
0.08641
0
0
1
0
0
74
82
3
0.5
0
0
0
0
74.5
11.291667
0
10
0
0
0
1
0
0
0
2
0
0
0
0
0
0
0
10
0
0
0
0
0
1
0
0
0
0
0
2
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0034844
S.Barkley
00-0035710
9
4
3
12
6
12
0
-2.14072
-0.09598
1.5
0.75
9
25
181
1.57683
0.033149
0.16
3
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
2
1
3
15
27
6.074074
-13.368914
0.555556
0
1.75
1.5
4
0
0
2
0
0
0.075147
0.064523
0
0
1
0
0
74
82
3
0.5
0
3.605551
0
1
55
-4.574074
0
7
5
0
1
1
1
0
2
1
1
0
0
12
0
0
0
0
0
2
1
0
0
0
0
3
1
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0035261
T.Pollard
00-0033077
24
3
2
12
-2
13
0
1.082538
0.005145
-0.666667
0.666667
9
25
181
1.57683
-0.01105
0.12
4
1.009683
1.001388
1.029275
0.878993
0.492612
1
0
2
0
3
13
24
6.708333
-10.1763
0.541667
22.666667
2.333333
-0.666667
6.5
0
0
1
0
1
0.002563
0.090299
0
0
1
0
0
74
82
3
0.666667
0
1.414214
1
1
45.333333
-7.375
0
5
7
0
0
1
1
0
0
2
1
0
0
0
0
0
0
12
0
0
0
0
0
2
0
0
0
0
0
3
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0035535
D.Slayton
00-0035710
9
5
3
15
42
7
0
-4.644775
-0.017594
8.4
0.6
9
25
181
1.57683
0.232044
0.2
3
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
2
1
4
15
27
6.074074
-13.368914
0.555556
0
3
8.4
2.333333
0
0
0
0
0
0.022625
0.066947
0
0
1
0
0
74
82
3
0.6
0
3
1
0
66.4
2.325926
0
0
10
5
0
0
2
1
1
0
2
2
0
15
0
0
0
0
0
3
0
0
0
0
0
5
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0035639
P.Campbell
00-0035710
9
4
1
2
19
0
0
-3.273162
-0.000549
4.75
0.25
9
25
181
1.57683
0.104972
0.16
0.5
0.883144
0.825943
0.87762
0.948754
0.421521
1
0
1
0
4
15
27
6.074074
-13.368914
0.555556
0
3
4.75
0
0
0
0
0
0
0.000005
0.069721
0
0
1
0
0
74
82
3
0.25
0
0
2
0
49.75
-1.324074
0
0
0
2
0
0
0
1
0
1
2
1
0
2
0
0
0
0
0
1
0
0
0
0
0
4
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0036145
L.Cager
00-0035710
9
2
2
17
2
15
0
1.956278
-0.000013
1
1
9
25
181
1.57683
0.01105
0.08
8.5
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
1
0
2
15
27
6.074074
-13.368914
0.555556
0
4
1
7.5
0
0
1
0
0
0
0.021961
0
0
1
0
0
74
82
3
1
0
0.707107
1
0
73.5
-5.074074
0
0
0
17
0
0
0
2
0
0
0
2
0
17
0
0
0
0
0
2
0
0
0
0
0
2
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0036165
I.Hodgins
00-0035710
9
3
1
24
34
15
0
-6.085053
-0.000418
11.333333
0.333333
9
25
181
1.57683
0.187845
0.12
8
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
1
3
15
27
6.074074
-13.368914
0.555556
0
3
11.333333
15
0
1
0
0
0
0.000007
0.041847
0
0
1
0
0
74
82
3
0.333333
0.333333
0
1
0
60
5.259259
0
0
0
24
0
0
0
1
0
1
1
1
0
24
0
0
0
0
0
1
0
0
0
0
0
3
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0036358
C.Lamb
00-0033077
24
4
4
77
37
40
0
5.613459
0.07376
9.25
1
9
25
181
1.57683
0.20442
0.16
19.25
1.009683
1.001388
1.029275
0.878993
0.492612
0
0
2
0
3
13
24
6.708333
-10.1763
0.541667
24.5
2.75
9.25
10
0
1
3
0
1
0.017503
0.175848
0
0
1
0
0
74
82
3
0.75
0.25
21.297496
0
1
56.5
2.541667
49
0
28
0
1
0
3
0
1
0
3
0
0
0
0
0
0
77
0
0
0
0
0
4
0
0
0
0
0
4
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0036569
G.Brightwell
00-0028118
9
2
2
6
-10
16
0
-0.544657
-0.000093
-5
1
9
25
181
1.57683
-0.055249
0.08
3
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
0
2
2
2
-5
11.933872
1
0
4
-5
8
0
0
0
0
0
0
0.011653
0
0
1
0
0
74
82
3
0.5
0
8.485281
1
0
73.5
0
0
0
0
6
0
0
0
2
0
0
0
2
0
6
0
0
0
0
0
2
0
0
0
0
0
2
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0037569
P.Hendershot
00-0033077
24
1
0
0
17
0
0
-0.617618
-0.000149
17
0
9
25
181
1.57683
0.093923
0.04
0
1.009683
1.001388
1.029275
0.878993
0.492612
1
0
0
0
1
13
24
6.708333
-10.1763
0.541667
26
3
17
0
0
0
0
0
1
0
0.01627
0
0
1
0
0
74
82
3
0
0
0
0
0
19
10.291667
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0037666
J.Tolbert
00-0033662
24
1
0
0
20
0
0
-2.601654
0.000021
20
0
9
25
181
1.57683
0.110497
0.04
0
1.009683
1.001388
1.029275
0.878993
0.492612
0
0
0
1
1
0
1
20
-36.656991
0
40
4
20
0
0
0
0
0
1
0
0.050171
0
0
1
0
0
74
82
3
0
0
0
0
0
32
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0037801
K.Turpin
00-0033077
24
3
2
11
5
5
0
0.66971
0.013249
1.666667
0.666667
9
25
181
1.57683
0.027624
0.12
3.666667
1.009683
1.001388
1.029275
0.878993
0.492612
3
0
1
0
3
13
24
6.708333
-10.1763
0.541667
24
3
1.666667
2.5
0
0
1
0
1
0.011979
0.02558
0
0
1
0
0
74
82
3
0.666667
0
2.12132
0
0
12.666667
-5.041667
4
0
0
7
1
0
0
1
1
0
0
2
0
0
0
0
0
11
0
0
0
0
0
2
0
0
0
0
0
3
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0038041
J.Ferguson
00-0033077
24
7
2
11
28
9
0
-4.702656
-0.040507
4
0.285714
9
25
181
1.57683
0.154696
0.28
1.571429
1.009683
1.001388
1.029275
0.878993
0.492612
5
0
2
0
6
13
24
6.708333
-10.1763
0.541667
12.714286
1.714286
4
4.5
0
0
0
0
1
0.008302
0.126552
0
0
1
0
0
74
82
3
0.285714
0
4.949747
0
0
24.714286
-2.708333
11
0
0
0
2
0
0
0
4
2
0
1
0
0
0
0
0
11
0
0
0
0
0
2
0
0
0
0
0
7
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0038115
D.Bellinger
00-0035710
9
1
1
1
1
0
0
-0.470176
-0.000094
1
1
9
25
181
1.57683
0.005525
0.04
1
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
0
1
15
27
6.074074
-13.368914
0.555556
0
3
1
0
0
0
0
0
0
0
0.03456
0
0
1
0
0
74
82
3
1
0
0
0
0
62
-5.074074
0
0
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DAL_NYG
00-0038938
J.Hyatt
00-0035710
9
1
0
0
14
0
0
-0.077952
0.000272
14
0
9
25
181
1.57683
0.077348
0.04
0
0.883144
0.825943
0.87762
0.948754
0.421521
0
0
0
0
1
15
27
6.074074
-13.368914
0.555556
0
2
14
0
0
0
0
0
0
0
0.054296
0
0
1
0
0
74
82
3
0
0
0
0
0
71
7.925926
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
24
9
-3.5
44.5
2023_01_DET_KC
00-0029293
M.Jones
00-0033106
16
6
2
8
50
4
0
-6.195231
-0.190923
8.333333
0.333333
11
32
217
6.054341
0.230415
0.1875
1.333333
0.997035
0.939565
0.858879
0.813218
0.31343
1
0
2
0
2
22
32
6.78125
-0.115709
0.6875
4.666667
1.833333
8.333333
2
0
0
0
0
0.666667
0.016127
0.064401
0
0
0
0
1
83
36
6
0.333333
0
1.414214
1
0
66.333333
1.552083
5
3
0
0
1
1
0
0
2
3
1
0
0
0
5
3
0
0
0
0
1
1
0
0
0
2
3
1
0
0
0
16
11
4
53
2023_01_DET_KC
00-0031376
J.McKinnon
00-0033873
11
2
1
10
5
4
0
-0.20584
-0.022697
2.5
0.5
11
32
217
6.054341
0.023041
0.0625
5
1.037609
1.014074
1.167003
1.209662
1.498674
0
0
2
0
1
21
37
9.27027
-6.219996
0.567568
8.5
2.5
2.5
4
0
0
1
0
0.5
0.021132
0.036003
0
0
0
0
1
83
36
6
0.5
0
0
0
0
50
-6.77027
10
0
0
0
1
0
0
0
1
0
0
1
0
0
0
0
10
0
0
0
0
0
1
0
0
0
0
0
1
1
0
16
11
4
53
2023_01_DET_KC
00-0032062
B.Bell
00-0033873
11
3
2
12
13
8
1
1.090416
0.035157
4.333333
0.666667
11
32
217
6.054341
0.059908
0.09375
4
1.037609
1.014074
1.167003
1.209662
1.498674
1
0
0
0
1
21
37
9.27027
-6.219996
0.567568
11.666667
2.666667
4.333333
4
0.333333
0
1
0
1
0.00387
0.023506
0
0
0
0
1
83
36
6
0.666667
0
2.828427
1
0
30.666667
-4.936937
0
4
8
0
0
1
1
0
0
1
2
0
0
0
0
0
8
4
0
0
0
0
1
1
0
0
0
0
1
2
0
16
11
4
53
2023_01_DET_KC
00-0032464
K.Raymond
00-0033106
16
1
1
20
17
3
0
1.76628
0.036685
17
1
11
32
217
6.054341
0.078341
0.03125
20
0.997035
0.939565
0.858879
0.813218
0.31343
0
0
0
0
0
22
32
6.78125
-0.115709
0.6875
14
3
17
3
0
1
0
0
1
0
0.048539
0
0
0
0
1
83
36
6
1
1
0
1
0
87
10.21875
0
0
20
0
0
0
1
0
0
0
1
0
0
0
20
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
16
11
4
53
2023_01_DET_KC
00-0033943
J.Reynolds
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End of preview. Expand in Data Studio

NFL Wide Receiver Performance Dataset (2023)

Dataset Description

This dataset contains comprehensive wide receiver performance statistics derived from NFL play-by-play data for the 2023. It includes game-level metrics, situational targeting patterns, defensive adjustments, and advanced efficiency calculations.

Dataset Summary

  • Season: 2023
  • Records: ~4.31k player-game observations
  • Features: 100+ columns including:
    • Core statistics (targets, receptions, yards, touchdowns)
    • Quarter-by-quarter breakdowns
    • Win probability bucketed performance
    • Defensive strength adjustments
    • Situational metrics (red zone, high leverage, down-and-distance)
    • Team share metrics (target share, air yards share, WOPR)
    • Efficiency metrics (aDOT, yards per target, catch rate)
    • Weather and venue conditions

Supported Tasks

  • Receiving Yards Prediction: Predict receiving yards for upcoming games
  • Target Share Analysis: Model player opportunity distribution
  • Performance Forecasting: Project future player performance
  • Matchup Analysis: Evaluate player-defense matchups

Dataset Structure

Data Fields

Key Identifiers:

  • game_id: Unique game identifier
  • receiver_player_id: NFL GSIS player ID
  • receiver_player_name: Player display name
  • passer_player_id: Quarterback player ID
  • season: NFL season year
  • week: Week number

Core Statistics:

  • targets: Total pass attempts targeting the receiver
  • receptions: Completed receptions
  • receiving_yards: Total receiving yards
  • tds: Receiving touchdowns
  • air_yards: Total air yards on targets
  • yac: Yards after catch

Quarter Breakdowns:

  • yards_Q1, yards_Q2, yards_Q3, yards_Q4: Yards by quarter
  • receptions_Q1-4: Receptions by quarter
  • targets_Q1-4: Targets by quarter

Win Probability Buckets:

  • yards_wp_<25, yards_wp_25_45, etc.: Performance in different game situations
  • Similar breakdowns for receptions and targets

Share Metrics:

  • target_share: Player's share of team targets
  • air_yards_share: Player's share of team air yards
  • yard_share: Player's share of team receiving yards
  • reception_share: Player's share of team receptions
  • wopr: Weighted Opportunity Rating (0.7 × target_share + 0.3 × air_yards_share)

Efficiency Metrics:

  • aDOT: Average depth of target
  • yards_per_target: Receiving yards per target
  • catch_rate: Reception percentage
  • yac_per_rec: Yards after catch per reception
  • explosive_rec_pct: Percentage of receptions ≥15 yards
  • first_down_pct: Percentage of receptions resulting in first downs

Defensive Adjustments:

  • def_targets_dev: Defense targets allowed vs league average
  • def_receptions_dev: Defense receptions allowed vs league average
  • def_yards_dev: Defense yards allowed vs league average
  • def_tds_dev: Defense TDs allowed vs league average
  • def_epa_dev: Defense EPA allowed vs league average
  • adj_epa: Defense-adjusted Expected Points Added
  • adj_epa_per_target: Defense-adjusted EPA per target

Situational Metrics:

  • red_zone_targets: Targets inside the 20-yard line
  • end_zone_targets: Targets in the end zone
  • third_down_targets: Targets on 3rd down
  • fourth_down_targets: Targets on 4th down
  • high_leverage_targets: Targets in high-leverage situations (WP < 0.25 or > 0.75)
  • red_zone_share: Player's share of team red zone targets
  • third_down_share: Player's share of team 3rd down targets

Game Context:

  • posteam: Player's team (encoded 1-32)
  • defteam: Opposing defense (encoded 1-32)
  • home_team: Home team (encoded 1-32)
  • away_team: Away team (encoded 1-32)
  • home_flag: 0 if home, 1 if away
  • pregame_spread: Betting line point spread
  • pregame_total: Betting line total points
  • avg_score_diff: Average score differential when targeted
  • avg_quarter: Average quarter when targeted
  • trailing_pct: Percentage of targets while trailing
  • leading_pct: Percentage of targets while leading

Weather & Venue:

  • surface: Playing surface type (encoded 0-6)
  • is_dome: 1 if indoor, 0 if outdoor
  • is_rain: 1 if rainy conditions
  • is_snow: 1 if snowy conditions
  • is_clear: 1 if clear conditions
  • temp_f: Temperature in Fahrenheit
  • humidity_pct: Humidity percentage
  • wind_mph: Wind speed in miles per hour

QB Context:

  • qb_completions: Quarterback's completions that game
  • qb_attempts: Quarterback's attempts that game
  • qb_comp_pct: Quarterback's completion percentage
  • qb_air_yards: Quarterback's average air yards
  • qb_cpoe: Quarterback's completion percentage over expected

Advanced Metrics:

  • epa: Expected Points Added
  • wpa: Win Probability Added
  • success_rate: Percentage of successful plays (EPA > 0 or YPT > 0.5)
  • big_play_rate: Percentage of plays ≥20 yards
  • explosive_plays: Count of plays ≥20 yards
  • first_downs: First downs generated
  • consistency_score: mean_adj_epa / std_adj_epa
  • inverse_volatility: 1 / std_adj_epa
  • season_adj_epa_per_target: Season-level defense-adjusted EPA per target
  • wp_var: Variance in win probability across targets
  • target_share_std: Standard deviation of target share across games

Data Splits

This dataset does not include pre-defined splits. Users should create their own train/validation/test splits based on their use case:

  • Time-based split: Use early weeks for training, later weeks for validation/testing
  • Cross-validation: K-fold cross-validation across games
  • Season holdout: Train on this season, test on future seasons

Dataset Creation

Source Data

Raw play-by-play data sourced from nflverse, which aggregates official NFL data with additional features.

Data Processing

The dataset was created through two complementary processing pipelines:

  1. Pipeline A (Defensive Adjustments):

    • Calculates defense-adjusted performance metrics
    • Adds situational targeting patterns
    • Includes QB context and team-level statistics
    • Incorporates weather and venue conditions

  2. Pipeline B (Temporal & Situational):

    • Generates quarter-by-quarter breakdowns
    • Creates win probability bucketed statistics
    • Computes team share metrics and WOPR
    • Calculates season-level consistency metrics

Both pipelines were merged to create a comprehensive feature set.

Considerations for Using the Data

Social Impact

This dataset is intended for:

  • Sports analytics and research
  • Fantasy football decision-making
  • Educational purposes in machine learning and sports statistics

Not intended for:

  • Real-money gambling (use responsibly)
  • Player evaluation for contract negotiations
  • Any decision-making that could impact player careers

Discussion of Biases

  • Opportunity bias: Statistics heavily dependent on team offensive scheme and QB quality
  • Injury data: Dataset does not account for injuries that may affect performance
  • Sample size: Players with limited playing time have less reliable statistics
  • Game script: Performance metrics influenced by whether team is winning/losing
  • Strength of schedule: Not all defensive matchups are equal, though some adjustment is included

Limitations

  • Historical data only: Does not predict future performance definitively
  • Missing context: Does not include play design, route running, or other qualitative factors
  • Weather parsing: Temperature/wind/humidity may be missing or inaccurate for some games
  • Roster changes: Does not account for mid-season team changes or trades
  • Playoff games: May or may not include playoff data depending on the year

Additional Information

Acknowledgments

  • Data Source: nflverse/nflverse-data
  • AI Assistance: Code development assisted by Claude (Anthropic)
  • Course: CMU 24-679: Designing and Deploying AI/ML Systems
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