Datasets:

SebastianAndreu
/

24679_NFL_WR_Dataset_2019

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	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	leading_pct float64	wp_var float64	target_share_std float64	surface int64	is_dome 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	yards_wp_<25 float64	yards_wp_25_45 float64	yards_wp_45_55 float64	yards_wp_55_75 float64	yards_wp_>75 float64	receptions_wp_<25 float64	receptions_wp_25_45 float64	receptions_wp_45_55 float64	receptions_wp_55_75 float64	receptions_wp_>75 float64	targets_wp_<25 int64	targets_wp_25_45 int64	targets_wp_45_55 int64	targets_wp_55_75 int64	targets_wp_>75 int64	home_team int64	away_team int64	pregame_spread float64	pregame_total float64
2019_01_ATL_MIN	00-0027944	J.Jones	00-0026143	21	12	6	31	107	11	1	-4.598579	-0.09593	9.727273	0.5	2	47	345	-0.979246	0.310145	0.255319	2.583333	1.052252	1.08826	0.991898	0.890993	0.598315	2	2	1	12	33	47	7.666667	3.382061	0.702128	3	2.583333	8.916667	1.833333	0.083333	0	4	0.416667	0.006565	0.233623	3	1	1	0	0	0	0.5	0	2.994439	2	1	40.083333	2.060606	8	10	0	13	2	1	0	3	4	2	1	5	31	0	0	0	0	6	0	0	0	0	12	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0027981	K.Rudolph	00-0029604	2	1	0	0	4	0	0	-0.490885	-0.0058	4	0	2	47	345	-0.979246	0.011594	0.021277	0	0.963458	0.994737	1.028613	1.122652	1.364239	0	0	0	1	8	9	6.666667	17.185258	0.888889	14	2	4	0	0	0	0	1	0	0.05814	3	1	1	0	0	0	0	0	0	0	0	54	-2.666667	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	1	21	2	3.5	47
2019_01_ATL_MIN	00-0028042	L.Stocker	00-0026143	21	1	0	0	3	0	0	-7.068586	-0.028112	3	0	2	47	345	-0.979246	0.008696	0.021277	0	1.052252	1.08826	0.991898	0.890993	0.598315	1	0	0	1	33	47	7.666667	3.382061	0.702128	0	3	3	0	0	0	0	0	0	0.031383	3	1	1	0	0	0	0	0	0	0	0	3	-4.666667	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0029632	M.Sanu	00-0026143	21	6	5	57	37	30	0	0.615012	-0.019612	6.166667	0.833333	2	47	345	-0.979246	0.107246	0.12766	9.5	1.052252	1.08826	0.991898	0.890993	0.598315	0	1	0	6	33	47	7.666667	3.382061	0.702128	1	2.666667	6.166667	6	0	1	2	0.166667	0.0017	0.173716	3	1	1	0	0	0	0.833333	0.166667	7.536577	1	0	46.5	-1.5	0	37	10	10	0	2	2	1	0	3	2	1	57	0	0	0	0	5	0	0	0	0	6	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0030035	A.Thielen	00-0029604	2	3	3	43	25	18	1	5.368132	0.061997	8.333333	1	2	47	345	-0.979246	0.072464	0.06383	14.333333	0.963458	0.994737	1.028613	1.122652	1.364239	0	1	0	2	8	9	6.666667	17.185258	0.888889	14	2.333333	8.333333	6	0.333333	1	2	0.666667	0.024744	0.107522	3	1	1	0	0	0	1	0.333333	7.767453	1	0	58.666667	1.666667	23	0	20	0	1	0	2	0	1	0	2	0	0	0	0	23	20	0	0	0	1	2	0	0	0	1	2	21	2	3.5	47
2019_01_ATL_MIN	00-0031285	D.Freeman	00-0026143	21	4	3	12	11	7	0	-1.281788	-0.000278	2.75	0.75	2	47	345	-0.979246	0.031884	0.085106	3	1.052252	1.08826	0.991898	0.890993	0.598315	0	0	0	4	33	47	7.666667	3.382061	0.702128	1.5	3.75	2.75	2.333333	0	0	0	0.25	0	0.106295	3	1	1	0	0	0	0.5	0	3.605551	2	0	50.75	-4.916667	0	0	0	12	0	0	0	3	0	0	1	3	12	0	0	0	0	3	0	0	0	0	4	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0031570	J.Hardy	00-0026143	21	6	4	41	28	18	0	0.44967	0.024531	5.6	0.666667	2	47	345	-0.979246	0.081159	0.12766	6.833333	1.052252	1.08826	0.991898	0.890993	0.598315	2	1	0	6	33	47	7.666667	3.382061	0.702128	2	2.5	4.666667	4.5	0	1	2	0.333333	0.004824	0.136893	3	1	1	0	0	0	0.666667	0.166667	8.995369	4	1	47.333333	-2.066667	31	0	0	10	3	0	0	1	3	0	0	3	41	0	0	0	0	4	0	0	0	0	6	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0031588	S.Diggs	00-0029604	2	2	2	37	29	8	0	3.298848	-0.006603	14.5	1	2	47	345	-0.979246	0.084058	0.042553	18.5	0.963458	0.994737	1.028613	1.122652	1.364239	0	0	0	2	8	9	6.666667	17.185258	0.888889	17.5	2	14.5	4	0	1	1	1	0.004604	0.079466	3	1	1	0	0	0	1	0.5	17.67767	0	0	79	7.833333	6	0	31	0	1	0	1	0	1	0	1	0	0	0	0	0	37	0	0	0	0	2	0	0	0	0	2	21	2	3.5	47
2019_01_ATL_MIN	00-0032392	A.Hooper	00-0026143	21	9	9	77	45	32	0	4.096609	0.020442	5	1	2	47	345	-0.979246	0.130435	0.191489	8.555556	1.052252	1.08826	0.991898	0.890993	0.598315	0	0	0	9	33	47	7.666667	3.382061	0.702128	1.333333	3.444444	5	3.555556	0	0	3	0.222222	0.000616	0.182155	3	1	1	0	0	0	1	0	4.530759	3	0	56.444444	-2.666667	0	4	27	46	0	1	3	5	0	1	3	5	77	0	0	0	0	9	0	0	0	0	9	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0033893	D.Cook	00-0029604	2	2	2	9	2	7	0	-0.286669	0.005824	1	1	2	47	345	-0.979246	0.005797	0.042553	4.5	0.963458	0.994737	1.028613	1.122652	1.364239	0	0	0	1	8	9	6.666667	17.185258	0.888889	3.5	1	1	3.5	0	0	0	0.5	0.010331	0.09016	3	1	1	0	0	0	1	0	4.949747	0	0	36	-5.666667	9	0	0	0	2	0	0	0	2	0	0	0	0	0	0	8	1	0	0	0	1	1	0	0	0	1	1	21	2	3.5	47
2019_01_ATL_MIN	00-0034309	C.Beebe	00-0029604	2	1	1	9	0	9	0	1.906524	0.026748	0	1	2	47	345	-0.979246	0	0.021277	9	0.963458	0.994737	1.028613	1.122652	1.364239	0	1	0	1	8	9	6.666667	17.185258	0.888889	14	2	0	9	0	0	1	1	0	0.040995	3	1	1	0	0	0	1	0	0	0	0	78	-6.666667	0	9	0	0	0	1	0	0	0	1	0	0	0	0	0	0	9	0	0	0	0	1	0	0	0	0	1	21	2	3.5	47
2019_01_ATL_MIN	00-0034378	I.Smith	00-0026143	21	1	1	9	1	8	0	0.78223	0.001035	1	1	2	47	345	-0.979246	0.002899	0.021277	9	1.052252	1.08826	0.991898	0.890993	0.598315	0	0	0	1	33	47	7.666667	3.382061	0.702128	0	2	1	8	0	0	0	0	0	0.046216	3	1	1	0	0	0	1	0	0	0	0	49	-6.666667	0	9	0	0	0	1	0	0	0	1	0	0	9	0	0	0	0	1	0	0	0	0	1	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0034411	R.Gage	00-0026143	21	2	1	13	34	0	0	-1.589579	-0.014044	17	0.5	2	47	345	-0.979246	0.098551	0.042553	6.5	1.052252	1.08826	0.991898	0.890993	0.598315	0	1	0	2	33	47	7.666667	3.382061	0.702128	0	1.5	17	0	0	0	1	0	0.002164	0.133164	3	1	1	0	0	0	0.5	0	0	1	0	48	9.333333	0	13	0	0	0	1	0	0	1	1	0	0	13	0	0	0	0	1	0	0	0	0	2	0	0	0	0	21	2	3.5	47
2019_01_ATL_MIN	00-0034837	C.Ridley	00-0026143	21	6	4	64	79	12	1	7.615765	0.01314	13.166667	0.666667	2	47	345	-0.979246	0.228986	0.12766	10.666667	1.052252	1.08826	0.991898	0.890993	0.598315	2	1	1	6	33	47	7.666667	3.382061	0.702128	2	3.333333	13.166667	3	0.166667	2	4	0.333333	0.002864	0.131851	3	1	1	0	0	0	0.666667	0.333333	5.656854	0	1	43.666667	5.5	0	20	8	36	0	1	1	2	0	1	2	3	64	0	0	0	0	4	0	0	0	0	6	0	0	0	0	21	2	3.5	47
2019_01_BAL_MIA	00-0030663	W.Snead	00-0029665	20	1	1	8	7	1	0	0.869783	0.000044	7	1	3	25	261	39.162648	0.02682	0.04	8	0.993332	0.974899	1.082319	1.563693	1.679352	1	1	0	3	6	6	6.333333	29.543673	1	43	3	7	1	0	1	2	1	0.002168	0.053628	2	0	1	91	56	8	0.666667	0.333333	17.67767	1	1	26.333333	5.064327	0	33	0	8	0	1	0	1	0	1	1	1	0	0	0	0	41	0	0	0	0	2	0	0	0	0	3	20	3	-7	41
2019_01_BAL_MIA	00-0030669	A.Wilson	00-0023682	3	4	2	13	0	8	0	-1.41887	-0.005165	0	0.5	3	25	261	39.162648	0	0.16	3.25	0.940173	0.869541	0.858823	0.679251	0.159318	0	2	0	3	14	29	13.862069	-5.233778	0.482759	0	1	0	4	0	0	1	0	0.009197	0.066526	2	0	1	91	56	8	0.5	0	7.778175	1	1	70	-13.862069	13	0	0	0	2	0	0	0	4	0	0	0	13	0	0	0	0	2	0	0	0	0	4	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0030821	A.Hurns	00-0023682	3	2	1	22	48	0	0	1.55486	0.001857	24	0.5	3	25	261	39.162648	0.183908	0.08	11	0.940173	0.869541	0.858823	0.679251	0.159318	0	1	0	2	14	29	13.862069	-5.233778	0.482759	3	2	24	0	0	1	1	1	0	0.064672	2	0	1	91	56	8	0.5	0.5	0	1	0	46	10.137931	0	22	0	0	0	1	0	0	0	2	0	0	22	0	0	0	0	1	0	0	0	0	2	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0031166	S.Roberts	00-0029665	20	1	1	10	5	5	0	0.98547	-0.000002	5	1	3	25	261	39.162648	0.019157	0.04	10	0.993332	0.974899	1.082319	1.563693	1.679352	0	0	0	1	6	6	6.333333	29.543673	1	59	4	5	5	0	0	0	1	0	0.055894	2	0	1	91	56	8	1	0	0	1	0	80	-1.333333	0	0	0	10	0	0	0	1	0	0	0	1	0	0	0	0	10	0	0	0	0	1	0	0	0	0	1	20	3	-7	41
2019_01_BAL_MIA	00-0031547	D.Parker	00-0023682	3	7	3	75	163	0	0	5.388813	0.001159	23.285714	0.428571	3	25	261	39.162648	0.624521	0.28	10.714286	0.940173	0.869541	0.858823	0.679251	0.159318	0	1	0	7	14	29	13.862069	-5.233778	0.482759	5.571429	2.428571	23.285714	0	0	1	3	0.857143	0.000005	0.096923	2	0	1	91	56	8	0.428571	0.142857	20.808652	3	0	64.428571	9.423645	0	63	12	0	0	2	1	0	0	4	3	0	75	0	0	0	0	3	0	0	0	0	7	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0031598	N.Boyle	00-0029665	20	2	2	23	15	8	0	1.666359	0.000023	7.5	1	3	25	261	39.162648	0.057471	0.08	11.5	0.993332	0.974899	1.082319	1.563693	1.679352	0	0	0	2	6	6	6.333333	29.543673	1	37	3	7.5	4	0	0	2	0.666667	0.064275	0.045814	2	0	1	91	56	8	1	0	4.932883	0	0	33.333333	-4.134503	3	0	0	23	1	0	0	2	1	0	0	2	0	0	0	0	26	0	0	0	0	3	0	0	0	0	3	20	3	-7	41
2019_01_BAL_MIA	00-0032791	J.Grant	00-0023682	3	3	1	-3	42	0	0	-3.128945	-0.00088	14	0.333333	3	25	261	39.162648	0.16092	0.12	-1	0.940173	0.869541	0.858823	0.679251	0.159318	0	2	0	4	14	29	13.862069	-5.233778	0.482759	5.75	2.75	14	0	0	0	0	0.75	0.00001	0.052685	2	0	1	91	56	8	0	0	0	1	0	59.5	1.686782	0	-3	0	0	0	1	0	0	0	2	2	0	-3	0	0	0	0	1	0	0	0	0	4	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0033118	K.Drake	00-0023682	3	3	2	15	28	11	0	-3.944841	-0.079069	9.333333	0.666667	3	25	261	39.162648	0.10728	0.12	5	0.940173	0.869541	0.858823	0.679251	0.159318	0	0	0	2	14	29	13.862069	-5.233778	0.482759	3.333333	1.666667	9.333333	5.5	0	0	1	0.333333	0.03904	0.056036	2	0	1	91	56	8	0.666667	0	3.535534	0	0	66.666667	-4.528736	5	10	0	0	1	1	0	0	2	1	0	0	15	0	0	0	0	2	0	0	0	0	3	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0033376	P.Ricard	00-0034796	20	1	1	1	1	0	1	0.871306	0.000957	1	1	3	25	261	39.162648	0.003831	0.04	1	0.993332	0.974899	1.082319	1.563693	1.679352	1	0	0	1	17	19	11.736842	28.355212	0.894737	42	3	1	0	1	0	1	1	0	0.021371	2	0	1	91	56	8	1	0	0	0	0	1	-10.736842	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	20	3	-7	41
2019_01_BAL_MIA	00-0034753	M.Andrews	00-0029665	20	1	1	3	2	1	1	4.105484	0.000088	2	1	3	25	261	39.162648	0.007663	0.04	3	0.993332	0.974899	1.082319	1.563693	1.679352	1	3	1	8	6	6	6.333333	29.543673	1	40.625	2.75	2	1	1	3	6	1	0.001194	0.108713	2	0	1	91	56	8	1	0.375	12.432676	2	1	54.875	-1.811404	9	6	90	3	1	1	5	1	1	1	5	1	0	0	0	0	108	0	0	0	0	8	0	0	0	0	8	20	3	-7	41
2019_01_BAL_MIA	00-0034799	K.Ballage	00-0023682	3	1	1	13	-5	18	0	1.426173	0.026803	-5	1	3	25	261	39.162648	-0.019157	0.04	13	0.940173	0.869541	0.858823	0.679251	0.159318	0	0	0	1	14	29	13.862069	-5.233778	0.482759	0	1	-5	18	0	0	1	0	0	0.055419	2	0	1	91	56	8	1	0	0	1	0	75	-18.862069	13	0	0	0	1	0	0	0	1	0	0	0	13	0	0	0	0	1	0	0	0	0	1	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0034829	M.Gesicki	00-0023682	3	4	1	26	53	13	0	0.467902	0.020517	13.25	0.25	3	25	261	39.162648	0.203065	0.16	6.5	0.940173	0.869541	0.858823	0.679251	0.159318	0	0	0	6	14	29	13.862069	-5.233778	0.482759	6.666667	2.5	13.25	13	0	1	1	0.666667	0.006303	0.063282	2	0	1	91	56	8	0.333333	0.166667	14.849242	2	0	73.333333	-1.463602	26	0	5	0	1	0	1	0	2	0	3	1	31	0	0	0	0	2	0	0	0	0	6	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0034830	H.Hurst	00-0029665	20	1	1	11	9	2	0	1.310163	0.00007	9	1	3	25	261	39.162648	0.034483	0.04	11	0.993332	0.974899	1.082319	1.563693	1.679352	0	1	0	2	6	6	6.333333	29.543673	1	36	2.666667	9	2	0	1	2	0.666667	0.079259	0.067164	2	0	1	91	56	8	1	0.333333	8.326664	0	1	56.333333	-1.602339	7	0	23	11	1	0	1	1	1	0	1	1	0	0	0	0	41	0	0	0	0	3	0	0	0	0	3	20	3	-7	41
2019_01_BAL_MIA	00-0035350	P.Williams	00-0023682	3	5	3	24	73	0	1	2.321974	-0.015929	14.6	0.6	3	25	261	39.162648	0.279693	0.2	4.8	0.940173	0.869541	0.858823	0.679251	0.159318	2	2	0	4	14	29	13.862069	-5.233778	0.482759	1.8	1.8	14.6	0	0.2	0	2	0.6	0.027775	0.098359	2	0	1	91	56	8	0.6	0	2.645751	1	0	32.4	0.737931	0	24	0	0	0	3	0	0	1	4	0	0	24	0	0	0	0	3	0	0	0	0	5	0	0	0	0	20	3	-7	41
2019_01_BAL_MIA	00-0035662	M.Brown	00-0034796	20	5	4	147	94	91	2	11.37114	0.177457	18.8	0.8	3	25	261	39.162648	0.360153	0.2	29.4	0.993332	0.974899	1.082319	1.563693	1.679352	1	1	0	4	17	19	11.736842	28.355212	0.894737	21	1.4	18.8	22.75	0.4	2	3	1	0.018662	0.131028	2	0	1	91	56	8	0.8	0.4	36.058979	1	0	55.4	7.063158	144	3	0	0	3	1	0	0	3	2	0	0	0	0	0	0	147	0	0	0	0	4	0	0	0	0	5	20	3	-7	41
2019_01_BAL_MIA	00-0035703	M.Boykin	00-0034796	20	1	1	5	5	0	1	2.696414	0.003393	5	1	3	25	261	39.162648	0.019157	0.04	5	0.993332	0.974899	1.082319	1.563693	1.679352	1	1	0	1	17	19	11.736842	28.355212	0.894737	28	2	5	0	1	0	1	1	0	0.094927	2	0	1	91	56	8	1	0	0	0	1	5	-6.736842	0	5	0	0	0	1	0	0	0	1	0	0	0	0	0	0	5	0	0	0	0	1	0	0	0	0	1	20	3	-7	41
2019_01_BUF_NYJ	00-0028581	P.DiMarco	00-0034857	25	2	2	9	8	1	0	-0.15232	-0.004226	4	1	4	35	286	0.624999	0.027972	0.057143	4.5	1.053082	1.028745	0.993307	1.002368	0.990658	0	0	0	0	24	35	8.171429	2.83644	0.685714	0	1	4	0.5	0	0	0	0	0.029834	0.01007	4	0	1	77	46	6	1	0	0.707107	0	0	57.5	-4.171429	9	0	0	0	2	0	0	0	2	0	0	0	0	5	4	0	0	0	1	1	0	0	0	1	1	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0029000	C.Beasley	00-0034857	25	9	5	40	59	21	0	-5.728352	-0.16177	6.555556	0.555556	4	35	286	0.624999	0.206294	0.257143	4.444444	1.053082	1.028745	0.993307	1.002368	0.990658	0	0	0	1	24	35	8.171429	2.83644	0.685714	1.111111	1.666667	6.555556	4.2	0	0	2	0.111111	0.009742	0.100408	4	0	1	77	46	6	0.555556	0	1.414214	0	0	61	-1.615873	24	16	0	0	3	2	0	0	5	3	0	1	16	14	10	0	0	2	2	1	0	0	3	5	1	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0029319	J.Bellamy	00-0034869	4	1	1	15	11	4	0	1.135391	0.025622	11	1	4	35	286	0.624999	0.038462	0.028571	15	0.989378	0.981568	0.861163	0.603779	0.266792	0	0	0	1	28	42	5.439024	-1.924625	0.666667	6	1	11	4	0	0	1	1	0	0.022316	4	0	1	77	46	6	1	0	0	0	0	83	5.560976	15	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	15	0	0	0	0	1	0	0	0	0	1	25	4	2.5	41
2019_01_BUF_NYJ	00-0030108	R.Griffin	00-0034869	4	4	3	10	0	12	0	-1.249368	-0.128468	0	0.75	4	35	286	0.624999	0	0.114286	2.5	0.989378	0.981568	0.861163	0.603779	0.266792	0	0	0	3	28	42	5.439024	-1.924625	0.666667	11	3.25	0	4	0	0	1	1	0.025275	0.063747	4	0	1	77	46	6	0.5	0	7.094599	1	0	61.75	-5.439024	0	11	2	-3	0	1	1	1	0	1	1	2	0	0	0	0	10	0	0	0	0	3	0	0	1	0	3	25	4	2.5	41
2019_01_BUF_NYJ	00-0030496	L.Bell	00-0034869	4	10	6	32	5	29	1	3.484467	-0.032509	0.555556	0.6	4	35	286	0.624999	0.017483	0.285714	3.2	0.989378	0.981568	0.861163	0.603779	0.266792	3	6	0	8	28	42	5.439024	-1.924625	0.666667	8.6	2.3	0.5	4.833333	0.1	0	4	0.9	0.011753	0.084651	4	0	1	77	46	6	0.8	0	3.932768	1	2	41.7	-4.883469	5	0	27	0	2	0	4	0	2	3	5	0	0	0	0	1	31	0	0	0	1	5	0	0	0	1	9	25	4	2.5	41
2019_01_BUF_NYJ	00-0031023	Q.Enunwa	00-0034869	4	3	1	8	35	8	0	-0.631675	-0.04514	11.666667	0.333333	4	35	286	0.624999	0.122378	0.085714	2.666667	0.989378	0.981568	0.861163	0.603779	0.266792	0	1	0	2	28	42	5.439024	-1.924625	0.666667	10	3	11.666667	8	0	0	0	1	0.058789	0.010102	4	0	1	77	46	6	0.333333	0	0	0	0	63.333333	6.227642	0	0	8	0	0	0	1	0	0	1	1	1	0	0	0	0	8	0	0	0	0	1	0	1	0	0	2	25	4	2.5	41
2019_01_BUF_NYJ	00-0031051	J.Brown	00-0034857	25	10	7	123	133	40	1	10.035686	0.428732	13.3	0.7	4	35	286	0.624999	0.465035	0.285714	12.3	1.053082	1.028745	0.993307	1.002368	0.990658	0	4	0	6	24	35	8.171429	2.83644	0.685714	1.3	2.4	13.3	5.714286	0.1	2	7	0.2	0.022641	0.101227	4	0	1	77	46	6	0.7	0.2	11.058287	1	1	49.2	5.128571	32	28	11	52	3	1	1	2	3	2	3	2	91	10	22	0	0	4	1	2	0	0	6	2	2	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0031941	J.Crowder	00-0034869	4	17	14	99	51	67	0	5.024395	0.006594	3	0.823529	4	35	286	0.624999	0.178322	0.485714	5.823529	0.989378	0.981568	0.861163	0.603779	0.266792	1	5	1	11	28	42	5.439024	-1.924625	0.666667	10.588235	3.117647	3	4.785714	0	0	7	0.941176	0.037752	0.11347	4	0	1	77	46	6	0.823529	0	4.304993	3	2	58.235294	-2.439024	0	47	19	33	0	5	3	6	1	5	3	8	5	0	9	12	73	1	0	2	1	10	1	1	3	2	10	25	4	2.5	41
2019_01_BUF_NYJ	00-0032688	Ro.Anderson	00-0034869	4	7	3	23	121	-4	0	-3.48016	-0.372034	17.285714	0.428571	4	35	286	0.624999	0.423077	0.2	3.285714	0.989378	0.981568	0.861163	0.603779	0.266792	0	2	0	5	28	42	5.439024	-1.924625	0.666667	10.285714	3	17.285714	-1.333333	0	0	0	1	0.052362	0.068657	4	0	1	77	46	6	0.428571	0	1.527525	1	0	55.285714	11.84669	0	9	6	8	0	1	1	1	0	2	3	2	8	0	0	0	15	1	0	0	0	2	1	0	1	0	5	25	4	2.5	41
2019_01_BUF_NYJ	00-0033891	Z.Jones	00-0034857	25	4	2	18	57	1	0	-3.310574	-0.055802	14.25	0.5	4	35	286	0.624999	0.199301	0.114286	4.5	1.053082	1.028745	0.993307	1.002368	0.990658	0	0	0	2	24	35	8.171429	2.83644	0.685714	2.5	2.25	14.25	0.5	0	1	1	0.25	0.002711	0.024477	4	0	1	77	46	6	0.25	0.25	15.556349	2	0	57.5	6.078571	0	-2	0	20	0	1	0	1	1	2	0	1	18	0	0	0	0	2	0	0	0	0	2	2	0	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0035250	D.Singletary	00-0034857	25	6	5	28	-1	29	0	-1.141639	-0.004991	-0.166667	0.833333	4	35	286	0.624999	-0.003497	0.171429	4.666667	1.053082	1.028745	0.993307	1.002368	0.990658	0	1	0	5	24	35	8.171429	2.83644	0.685714	5.5	3.333333	-0.166667	5.8	0	0	0	0.666667	0.002968	0.086991	4	0	1	77	46	6	0.666667	0	4.827007	1	0	56.5	-8.338095	0	4	0	24	0	1	0	4	0	2	0	4	28	0	0	0	0	5	0	0	0	0	6	0	0	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0035308	T.Sweeney	00-0034857	25	2	2	35	24	11	0	2.584807	0.063775	12	1	4	35	286	0.624999	0.083916	0.057143	17.5	1.053082	1.028745	0.993307	1.002368	0.990658	0	0	0	1	24	35	8.171429	2.83644	0.685714	1.5	3	12	5.5	0	1	1	0.5	0.014157	0.040433	4	0	1	77	46	6	1	0.5	16.263456	0	0	57.5	3.828571	0	29	0	6	0	1	0	1	0	1	0	1	35	0	0	0	0	2	0	0	0	0	2	0	0	0	0	25	4	2.5	41
2019_01_BUF_NYJ	00-0035689	D.Knox	00-0034857	25	2	1	1	6	0	0	-1.662609	-0.029568	3	0.5	4	35	286	0.624999	0.020979	0.057143	0.5	1.053082	1.028745	0.993307	1.002368	0.990658	0	0	0	1	24	35	8.171429	2.83644	0.685714	0	2.5	3	0	0	0	0	0	0.020634	0.054863	4	0	1	77	46	6	0.5	0	0	2	0	55	-5.171429	1	0	0	0	1	0	0	0	1	0	1	0	0	1	0	0	0	0	1	0	0	0	1	1	0	0	0	25	4	2.5	41
2019_01_CIN_SEA	00-0030456	G.Bernard	00-0027973	28	3	2	42	-1	46	0	3.146978	0.086209	-0.333333	0.666667	7	49	355	20.942353	-0.002817	0.061224	14	1.050592	1.052992	1.066821	0.748434	0.953298	1	1	0	0	35	49	7.244898	3.138866	0.714286	17	3.666667	-0.333333	23	0	1	1	1	0.026533	0.040272	4	0	1	64	82	7	0.666667	0.333333	19.79899	1	0	51.666667	-7.578231	0	0	35	7	0	0	1	1	0	0	1	2	7	35	0	0	0	1	1	0	0	0	1	2	0	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0030549	T.Eifert	00-0027973	28	5	5	27	23	4	0	1.542378	0.039301	4.6	1	7	49	355	20.942353	0.064789	0.102041	5.4	1.050592	1.052992	1.066821	0.748434	0.953298	0	3	0	0	35	49	7.244898	3.138866	0.714286	16.8	3.2	4.6	0.8	0	0	2	1	0.016334	0.067863	4	0	1	64	82	7	1	0	1.140175	1	2	72.2	-2.644898	0	4	12	11	0	1	2	2	0	1	2	2	6	16	5	0	0	1	3	1	0	0	1	3	1	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0032134	C.Uzomah	00-0027973	28	5	4	66	16	50	0	4.225883	0.1699	3.2	0.8	7	49	355	20.942353	0.04507	0.102041	13.2	1.050592	1.052992	1.066821	0.748434	0.953298	0	0	0	0	35	49	7.244898	3.138866	0.714286	14.2	3.2	3.2	12.5	0	1	3	1	0.027084	0.068803	4	0	1	64	82	7	0.8	0.2	13.527749	1	0	39.2	-4.044898	0	36	24	6	0	1	2	1	0	1	2	2	36	6	24	0	0	1	1	2	0	0	1	2	2	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0032211	T.Lockett	00-0029263	7	2	1	44	68	6	1	3.814795	0.171602	34	0.5	7	49	355	20.942353	0.191549	0.040816	22	0.875701	0.872875	1.024635	1.002368	1.560804	0	0	0	0	14	19	9.526316	12.202662	0.736842	17.5	4	34	6	0.5	1	1	1	0.027186	0.125798	4	0	1	64	82	7	0.5	0.5	0	0	0	59.5	24.473684	0	0	44	0	0	0	1	0	0	0	1	1	0	0	0	44	0	0	0	0	1	0	0	0	0	1	1	28	7	9.5	44
2019_01_CIN_SEA	00-0032394	N.Vannett	00-0029263	7	2	2	16	13	3	0	-0.560457	-0.055683	6.5	1	7	49	355	20.942353	0.03662	0.040816	8	0.875701	0.872875	1.024635	1.002368	1.560804	0	2	0	0	14	19	9.526316	12.202662	0.736842	17.5	3.5	6.5	1.5	0	0	0	1	0.046505	0.050213	4	0	1	64	82	7	1	0	4.242641	0	0	77.5	-3.026316	0	0	11	5	0	0	1	1	0	0	1	1	0	0	11	5	0	0	0	1	1	0	0	0	1	1	0	28	7	9.5	44
2019_01_CIN_SEA	00-0032543	A.Erickson	00-0027973	28	4	4	28	25	3	0	1.08346	-0.036284	6.25	1	7	49	355	20.942353	0.070423	0.081633	7	1.050592	1.052992	1.066821	0.748434	0.953298	0	0	0	0	35	49	7.244898	3.138866	0.714286	9.25	2.5	6.25	0.75	0	0	1	0.5	0.008707	0.111389	4	0	1	64	82	7	1	0	4.242641	1	0	52.25	-0.994898	12	0	0	16	2	0	0	2	2	0	0	2	19	9	0	0	0	2	2	0	0	0	2	2	0	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0033009	T.Boyd	00-0027973	28	12	8	60	75	10	0	-0.63974	-0.092101	6.25	0.666667	7	49	355	20.942353	0.211268	0.244898	5	1.050592	1.052992	1.066821	0.748434	0.953298	0	4	0	0	35	49	7.244898	3.138866	0.714286	7.25	2.083333	6.25	1.25	0	0	3	0.5	0.009426	0.10961	4	0	1	64	82	7	0.666667	0	4.309458	2	1	56	-0.994898	46	9	0	5	5	2	0	1	6	2	1	3	49	11	0	0	0	6	2	0	0	0	7	4	0	1	0	28	7	9.5	44
2019_01_CIN_SEA	00-0033460	J.Ross III	00-0027973	28	12	7	158	172	58	2	12.970222	0.414363	14.333333	0.583333	7	49	355	20.942353	0.484507	0.244898	13.166667	1.050592	1.052992	1.066821	0.748434	0.953298	1	2	0	0	35	49	7.244898	3.138866	0.714286	9.25	2.416667	14.333333	8.285714	0.166667	4	6	0.75	0.017832	0.128259	4	0	1	64	82	7	0.583333	0.333333	17.115852	1	1	57.583333	7.088435	20	88	24	26	1	2	1	3	3	4	2	3	123	11	24	0	0	5	1	1	0	0	8	2	1	1	0	28	7	9.5	44
2019_01_CIN_SEA	00-0033594	C.Carson	00-0029263	7	7	6	34	-33	68	1	-2.608256	-0.007168	-4.714286	0.857143	7	49	355	20.942353	-0.092958	0.142857	4.857143	0.875701	0.872875	1.024635	1.002368	1.560804	1	2	0	0	14	19	9.526316	12.202662	0.736842	7	2.142857	-4.714286	11.333333	0.142857	0	2	0.714286	0.006436	0.071566	4	0	1	64	82	7	0.857143	0	5.163978	1	0	57	-14.240602	8	24	2	0	1	4	1	0	1	5	1	0	0	0	0	19	15	0	0	0	3	3	0	0	0	4	3	28	7	9.5	44
2019_01_CIN_SEA	00-0033897	J.Mixon	00-0027973	28	3	2	7	-4	11	0	-2.179423	-0.040717	-1.333333	0.666667	7	49	355	20.942353	-0.011268	0.061224	2.333333	1.050592	1.052992	1.066821	0.748434	0.953298	0	1	0	0	35	49	7.244898	3.138866	0.714286	1	1.333333	-1.333333	5.5	0	0	0	0.333333	0.001301	0.046277	4	0	1	64	82	7	0.333333	0	9.192388	2	0	63.333333	-8.578231	-3	10	0	0	1	1	0	0	2	1	0	0	-3	10	0	0	0	1	1	0	0	0	2	1	0	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0034159	W.Dissly	00-0029263	7	2	1	12	29	3	0	0.686975	0.055478	14.5	0.5	7	49	355	20.942353	0.08169	0.040816	6	0.875701	0.872875	1.024635	1.002368	1.560804	0	2	0	0	14	19	9.526316	12.202662	0.736842	0	2	14.5	3	0	0	1	0	0.000022	0.092892	4	0	1	64	82	7	0.5	0	0	0	0	44.5	4.973684	0	12	0	0	0	1	0	0	0	2	0	0	0	0	0	12	0	0	0	0	1	0	0	0	0	2	0	28	7	9.5	44
2019_01_CIN_SEA	00-0035401	D.Willis	00-0027973	28	5	3	30	49	4	0	0.792594	0.051272	9.8	0.6	7	49	355	20.942353	0.138028	0.102041	6	1.050592	1.052992	1.066821	0.748434	0.953298	0	1	0	0	35	49	7.244898	3.138866	0.714286	13.4	2.8	9.8	1.333333	0	0	2	0.8	0.015174	0.066778	4	0	1	64	82	7	0.6	0	6.082763	0	1	63.6	2.555102	6	17	0	7	1	1	0	1	1	1	1	2	17	13	0	0	0	1	2	0	0	0	1	3	1	0	0	28	7	9.5	44
2019_01_CIN_SEA	00-0035640	DK.Metcalf	00-0029263	7	6	4	89	104	16	0	4.163096	0.180943	17.333333	0.666667	7	49	355	20.942353	0.292958	0.122449	14.833333	0.875701	0.872875	1.024635	1.002368	1.560804	1	3	0	0	14	19	9.526316	12.202662	0.736842	5.833333	2	17.333333	4	0	2	3	0.666667	0.007096	0.108875	4	0	1	64	82	7	0.666667	0.333333	15.283433	0	2	51.5	7.807018	6	58	25	0	1	2	1	0	1	4	1	0	0	0	25	42	22	0	0	1	1	2	0	0	1	2	3	28	7	9.5	44
2019_01_DEN_OAK	00-0027685	E.Sanders	00-0026158	17	7	5	86	87	32	1	6.034968	0.007038	12.428571	0.714286	10	30	245	14.433521	0.355102	0.233333	12.285714	0.952255	0.955061	1.082816	1.323125	1.758684	3	1	0	7	21	30	8.166667	4.530868	0.7	5.571429	3.428571	12.428571	6.4	0.142857	2	3	0.714286	0.002419	0.100545	2	0	1	68	66	15	0.857143	0.285714	21.60324	2	0	37.571429	4.261905	0	6	0	80	0	1	0	4	0	2	0	5	86	0	0	0	0	5	0	0	0	0	7	0	0	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0028114	D.Harris	00-0031280	10	1	1	7	0	7	0	-0.558688	-0.016834	0	1	10	30	245	14.433521	0	0.033333	7	0.963458	0.986235	0.948055	0.761799	0.89841	0	0	0	0	22	26	8.230769	15.256469	0.846154	7	1	0	7	0	0	0	1	0	0.045611	2	0	1	68	66	15	1	0	0	1	0	68	-8.230769	7	0	0	0	1	0	0	0	1	0	0	0	0	0	0	7	0	0	0	0	1	0	0	0	0	1	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0031068	R.Grant	00-0031280	10	4	3	16	12	3	0	0.117657	0.021921	3	0.75	10	30	245	14.433521	0.04898	0.133333	4	0.963458	0.986235	0.948055	0.761799	0.89841	1	2	0	2	22	26	8.230769	15.256469	0.846154	5.25	1.75	3	1	0	0	1	0.5	0.030013	0.016435	2	0	1	68	66	15	0.75	0	3.511885	0	1	48.25	-5.230769	14	2	0	0	2	1	0	0	2	1	1	0	0	14	0	2	0	0	2	0	1	0	0	2	0	1	1	17	10	-3	42.5
2019_01_DEN_OAK	00-0031610	D.Waller	00-0031280	10	8	7	70	55	31	0	4.928213	0.187818	6.875	0.875	10	30	245	14.433521	0.22449	0.266667	8.75	0.963458	0.986235	0.948055	0.761799	0.89841	0	1	0	4	22	26	8.230769	15.256469	0.846154	7.875	2	6.875	4.428571	0	1	3	0.75	0.013918	0.131527	2	0	1	68	66	15	0.875	0.125	6.831301	3	1	61.625	-1.355769	43	13	14	0	3	2	2	0	3	2	3	0	0	36	0	28	6	0	2	0	4	1	0	2	0	4	2	17	10	-3	42.5
2019_01_DEN_OAK	00-0032160	T.Williams	00-0031280	10	7	6	105	125	25	1	8.93578	0.160958	17.857143	0.857143	10	30	245	14.433521	0.510204	0.233333	15	0.963458	0.986235	0.948055	0.761799	0.89841	1	4	0	4	22	26	8.230769	15.256469	0.846154	11.428571	2.714286	17.857143	4.166667	0.142857	2	5	0.857143	0.011774	0.048396	2	0	1	68	66	15	0.857143	0.285714	14.152738	1	1	51.714286	9.626374	23	43	0	39	2	1	0	3	2	1	1	3	0	0	8	58	39	0	0	1	2	3	0	0	1	2	4	17	10	-3	42.5
2019_01_DEN_OAK	00-0034109	P.Lindsay	00-0026158	17	6	4	23	5	18	0	0.127545	-0.026001	0.833333	0.666667	10	30	245	14.433521	0.020408	0.2	3.833333	0.952255	0.955061	1.082816	1.323125	1.758684	0	2	0	4	21	30	8.166667	4.530868	0.7	2	2.166667	0.833333	4.5	0	0	1	0.333333	0.008786	0.069537	2	0	1	68	66	15	0.666667	0	4.031129	3	0	60.666667	-7.333333	11	0	4	8	2	0	1	1	2	2	1	1	12	11	0	0	0	2	2	0	0	0	4	2	0	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0034348	C.Sutton	00-0026158	17	8	7	120	95	43	0	9.355209	0.09157	11.875	0.875	10	30	245	14.433521	0.387755	0.266667	15	0.952255	0.955061	1.082816	1.323125	1.758684	2	2	0	5	21	30	8.166667	4.530868	0.7	3.375	2.625	11.875	6.142857	0	3	5	0.375	0.01884	0.074094	2	0	1	68	66	15	0.875	0.375	10.22136	2	1	52.25	3.708333	48	5	24	43	2	1	1	3	2	2	1	3	72	48	0	0	0	5	2	0	0	0	5	2	1	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0034370	D.Hamilton	00-0026158	17	4	2	5	27	2	0	-1.973684	-0.034481	6.75	0.5	10	30	245	14.433521	0.110204	0.133333	1.25	0.952255	0.955061	1.082816	1.323125	1.758684	1	2	0	4	21	30	8.166667	4.530868	0.7	0.75	2.5	6.75	1	0	0	1	0.25	0.001081	0.067959	2	0	1	68	66	15	0.25	0	6.363961	0	2	35.5	-1.416667	0	7	-2	0	0	1	1	0	0	2	2	0	5	0	0	0	0	2	0	0	0	0	2	2	0	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0034838	R.Freeman	00-0026158	17	1	1	5	5	0	0	0.022854	-0.006659	5	1	10	30	245	14.433521	0.020408	0.033333	5	0.952255	0.955061	1.082816	1.323125	1.758684	0	0	0	1	21	30	8.166667	4.530868	0.7	0	2	5	0	0	0	0	0	0	0.063241	2	0	1	68	66	15	1	0	0	0	0	51	-3.166667	0	5	0	0	0	1	0	0	0	1	0	0	5	0	0	0	0	1	0	0	0	0	1	0	0	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0034981	F.Moreau	00-0031280	10	2	2	20	7	13	0	0.930474	0.016077	3.5	1	10	30	245	14.433521	0.028571	0.066667	10	0.963458	0.986235	0.948055	0.761799	0.89841	0	1	0	0	22	26	8.230769	15.256469	0.846154	7	1.5	3.5	6.5	0	0	0	1	0.000101	0.030529	2	0	1	68	66	15	1	0	1.414214	1	0	72	-4.730769	9	11	0	0	1	1	0	0	1	1	0	0	0	0	0	20	0	0	0	0	2	0	0	0	0	2	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0034983	H.Renfrow	00-0031280	10	3	2	13	11	5	0	1.245527	0.01917	3.666667	0.666667	10	30	245	14.433521	0.044898	0.1	4.333333	0.963458	0.986235	0.948055	0.761799	0.89841	1	1	0	2	22	26	8.230769	15.256469	0.846154	7	1.333333	3.666667	2.5	0	0	1	1	0.002267	0.072208	2	0	1	68	66	15	0.666667	0	4.949747	0	1	54.333333	-4.564103	3	10	0	0	1	1	0	0	2	1	0	0	0	0	0	13	0	0	0	0	2	0	0	0	0	3	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0035644	N.Fant	00-0026158	17	4	2	29	26	9	0	0.866629	0.011622	6.5	0.5	10	30	245	14.433521	0.106122	0.133333	7.25	0.952255	0.955061	1.082816	1.323125	1.758684	1	2	0	4	21	30	8.166667	4.530868	0.7	3	3	6.5	4.5	0	1	1	0.5	0.000466	0.082141	2	0	1	68	66	15	0.5	0.25	7.778175	0	0	57.75	-1.666667	0	0	29	0	0	0	2	0	0	0	4	0	29	0	0	0	0	2	0	0	0	0	3	1	0	0	0	17	10	-3	42.5
2019_01_DEN_OAK	00-0035700	J.Jacobs	00-0031280	10	1	1	28	4	24	0	1.704446	0.02039	4	1	10	30	245	14.433521	0.016327	0.033333	28	0.963458	0.986235	0.948055	0.761799	0.89841	0	0	0	1	22	26	8.230769	15.256469	0.846154	14	4	4	24	0	1	1	1	0	0.037834	2	0	1	68	66	15	1	1	0	0	0	60	-4.230769	0	0	0	28	0	0	0	1	0	0	0	1	0	0	0	0	28	0	0	0	0	1	0	0	0	0	1	17	10	-3	42.5
2019_01_DET_ARI	00-0022921	L.Fitzgerald	00-0035228	11	13	8	113	153	16	1	3.72599	0.323291	11.769231	0.615385	1	53	540	2.860613	0.283333	0.245283	8.692308	1.110964	1.079758	1.172575	1.323125	1.515273	2	3	0	9	29	53	10.384615	-9.874018	0.54717	9.692308	3.461538	11.769231	2	0.076923	2	3	0.769231	0.045208	0.078595	2	0	1	0	0	0	0.615385	0.153846	17.892037	1	0	55.461538	1.384615	0	3	6	104	0	1	1	6	1	2	2	8	68	0	0	45	0	7	0	0	1	0	10	0	2	1	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0026035	D.Amendola	00-0026498	1	13	7	104	122	43	1	3.055519	0.037807	9.384615	0.538462	1	53	540	2.860613	0.225926	0.245283	8	1.077355	1.193118	1.189731	1.523599	2.031315	0	5	0	10	27	41	11.536585	4.010775	0.658537	15.384615	2.615385	9.384615	6.142857	0.076923	1	5	0.846154	0.107234	0.099236	2	0	1	0	0	0	0.538462	0.076923	14.645006	3	2	63.076923	-2.15197	10	64	15	15	1	3	1	2	2	6	2	3	12	0	0	57	35	1	0	0	2	4	2	0	0	3	8	1	11	-2.5	45.5
2019_01_DET_ARI	00-0028112	C.Clay	00-0035228	11	1	1	5	5	0	0	-0.056106	-0.016876	5	1	1	53	540	2.860613	0.009259	0.018868	5	1.110964	1.079758	1.172575	1.323125	1.515273	0	0	0	0	29	53	10.384615	-9.874018	0.54717	27	5	5	0	0	0	0	1	0	0.022417	2	0	1	0	0	0	1	0	0	0	0	75	-5.384615	0	0	0	5	0	0	0	1	0	0	0	1	0	5	0	0	0	0	1	0	0	0	0	1	0	0	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0029293	M.Jones	00-0026498	1	4	4	56	52	4	0	3.698362	0.289897	13	1	1	53	540	2.860613	0.096296	0.075472	14	1.077355	1.193118	1.189731	1.523599	2.031315	0	1	0	1	27	41	11.536585	4.010775	0.658537	14.5	3.25	13	1	0	2	3	0.75	0.026665	0.087874	2	0	1	0	0	0	1	0.5	9.309493	1	0	70	1.463415	5	7	0	44	1	1	0	2	1	1	0	2	0	0	21	28	7	0	0	1	2	1	0	0	1	2	1	1	11	-2.5	45.5
2019_01_DET_ARI	00-0031558	M.Williams	00-0035228	11	1	1	15	4	11	0	0.873294	0.037358	4	1	1	53	540	2.860613	0.007407	0.018868	15	1.110964	1.079758	1.172575	1.323125	1.515273	0	0	0	1	29	53	10.384615	-9.874018	0.54717	24	5	4	11	0	0	1	1	0	0.123805	2	0	1	0	0	0	1	0	0	0	0	23	-6.384615	0	0	0	15	0	0	0	1	0	0	0	1	0	0	0	0	15	0	0	0	0	1	0	0	0	0	1	1	11	-2.5	45.5
2019_01_DET_ARI	00-0031868	D.Byrd	00-0035228	11	7	4	42	72	10	0	0.876318	0.190554	10.285714	0.571429	1	53	540	2.860613	0.133333	0.132075	6	1.110964	1.079758	1.172575	1.323125	1.515273	1	3	0	4	29	53	10.384615	-9.874018	0.54717	13.142857	3.571429	10.285714	2.5	0	0	3	0.714286	0.038342	0.066718	2	0	1	0	0	0	0.571429	0	5.91608	1	0	61.571429	-0.098901	6	0	0	36	1	0	0	3	1	1	0	5	26	16	0	0	0	2	2	0	0	0	4	3	0	0	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0032135	J.James	00-0026498	1	1	1	15	6	9	0	2.291007	0.024121	6	1	1	53	540	2.860613	0.011111	0.018868	15	1.077355	1.193118	1.189731	1.523599	2.031315	0	1	0	1	27	41	11.536585	4.010775	0.658537	17	3	6	9	0	0	1	1	0	0.03747	2	0	1	0	0	0	1	0	0	0	0	34	-5.536585	0	0	15	0	0	0	1	0	0	0	1	0	0	0	0	0	15	0	0	0	0	1	0	0	0	0	1	1	11	-2.5	45.5
2019_01_DET_ARI	00-0032187	D.Johnson	00-0035228	11	7	6	55	45	12	1	3.148035	-0.006929	6.428571	0.857143	1	53	540	2.860613	0.083333	0.132075	7.857143	1.110964	1.079758	1.172575	1.323125	1.515273	0	2	0	7	29	53	10.384615	-9.874018	0.54717	5.142857	3.285714	6.428571	2	0.142857	1	2	0.714286	0.004984	0.092008	2	0	1	0	0	0	0.857143	0.142857	8.886319	0	0	54	-3.956044	0	15	0	40	0	2	0	4	0	2	1	4	55	0	0	0	0	6	0	0	0	0	7	0	0	0	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0032602	J.McKissic	00-0026498	1	2	2	24	1	23	0	0.009003	-0.002046	0.5	1	1	53	540	2.860613	0.001852	0.037736	12	1.077355	1.193118	1.189731	1.523599	2.031315	0	2	0	2	27	41	11.536585	4.010775	0.658537	17	3	0.5	11.5	0	0	0	1	0	0.057084	2	0	1	0	0	0	1	0	0	0	0	82.5	-11.036585	0	0	24	0	0	0	2	0	0	0	2	0	0	0	0	0	24	0	0	0	0	2	0	0	0	0	2	1	11	-2.5	45.5
2019_01_DET_ARI	00-0033932	K.Golladay	00-0026498	1	9	4	42	147	12	1	0.374748	0.090139	16.333333	0.444444	1	53	540	2.860613	0.272222	0.169811	4.666667	1.077355	1.193118	1.189731	1.523599	2.031315	2	4	0	4	27	41	11.536585	4.010775	0.658537	13.666667	3	16.333333	3	0.111111	0	3	0.666667	0.05286	0.096827	2	0	1	0	0	0	0.444444	0	2.380476	3	1	44.888889	4.796748	21	9	0	12	2	1	0	1	2	2	1	4	0	0	0	33	9	0	0	0	3	1	0	0	0	5	4	1	11	-2.5	45.5
2019_01_DET_ARI	00-0034349	K.Johnson	00-0026498	1	2	2	13	4	9	0	1.354395	0.013543	2	1	1	53	540	2.860613	0.007407	0.037736	6.5	1.077355	1.193118	1.189731	1.523599	2.031315	0	1	0	1	27	41	11.536585	4.010775	0.658537	12	2.5	2	4.5	0	0	4	0.583333	0.114581	0.056378	2	0	1	0	0	0	0.5	0	4.859943	0	0	59.583333	-0.82661	7	0	0	6	1	0	0	1	1	0	0	1	0	0	0	7	6	0	0	0	1	1	0	0	0	1	1	1	11	-2.5	45.5
2019_01_DET_ARI	00-0034433	N.Bawden	00-0026498	1	1	1	0	-1	1	0	-0.639001	-0.001309	-1	1	1	53	540	2.860613	-0.001852	0.018868	0	1.077355	1.193118	1.189731	1.523599	2.031315	0	0	0	1	27	41	11.536585	4.010775	0.658537	17	3	-1	1	0	0	0	1	0	0.013946	2	0	1	0	0	0	0	0	0	0	0	82	-12.536585	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	1	11	-2.5	45.5
2019_01_DET_ARI	00-0034681	C.Edmonds	00-0035228	11	1	0	0	9	0	0	-1.124147	-0.010001	9	0	1	53	540	2.860613	0.016667	0.018868	0	1.110964	1.079758	1.172575	1.323125	1.515273	0	1	0	1	29	53	10.384615	-9.874018	0.54717	0	2	9	0	0	0	0	0	0	0.044507	2	0	1	0	0	0	0	0	0	0	0	64	-1.384615	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0034775	C.Kirk	00-0035228	11	13	4	32	139	12	0	-1.713075	0.04523	11.583333	0.307692	1	53	540	2.860613	0.257407	0.245283	2.461538	1.110964	1.079758	1.172575	1.323125	1.515273	2	4	0	7	29	53	10.384615	-9.874018	0.54717	8.615385	3.230769	10.692308	3	0	0	4	0.769231	0.037099	0.111358	2	0	1	0	0	0	0.384615	0	2.160247	2	3	51.769231	1.198718	5	0	0	27	1	0	0	3	2	1	4	6	18	14	0	0	0	2	2	0	0	0	8	5	0	0	0	1	11	-2.5	45.5
2019_01_DET_ARI	00-0035229	T.Hockenson	00-0026498	1	9	6	131	142	56	1	9.604435	0.047425	15.777778	0.666667	1	53	540	2.860613	0.262963	0.169811	14.555556	1.077355	1.193118	1.189731	1.523599	2.031315	1	2	0	5	27	41	11.536585	4.010775	0.658537	14.333333	3	15.777778	9.333333	0.111111	4	4	0.777778	0.06964	0.080822	2	0	1	0	0	0	0.666667	0.444444	11.822295	1	0	61	4.241192	28	49	24	30	1	2	1	2	2	2	1	4	7	0	0	28	96	1	0	0	1	4	1	0	0	3	5	1	11	-2.5	45.5

End of preview. Expand in Data Studio

NFL Wide Receiver Performance Dataset (2019)

Dataset Description

This dataset contains comprehensive wide receiver performance statistics derived from NFL play-by-play data for the 2019. It includes game-level metrics, situational targeting patterns, defensive adjustments, and advanced efficiency calculations.

Dataset Summary

Season: 2015
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:

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
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

Downloads last month: 6

Size of downloaded dataset files:

652 kB

Size of the auto-converted Parquet files:

652 kB

Number of rows:

4,274