Keith Ford

Expected points added: how much the player’s plays moved the team’s expected score, per play and in total. Plays: total EPA divided by EPA per play, the plays the source credits to him (for a receiver roughly his catches and runs, not every target; for a passer, not every attempt), so it can differ from attempts plus carries. Percentile: against the position’s regulars that season across all divisions on file (quarterbacks with 150+ plays, backs 60+, receivers and tight ends 30+), with how many there were (n) and their median; a dash means too few plays to rank. A season in progress uses the full-season bar scaled by games played, never below 75 plays for quarterbacks, 30 for backs and 20 for receivers. The cohort grows or shrinks with the source’s coverage each season (2025 lists far more players), so compare percentiles rather than raw EPA across years. FCS seasons are marked. Usage: the share of the team’s plays the player was part of (shown from 20 plays). Adjusted pass and rush: EPA per play adjusted for the defenses faced (CollegeFootballData’s WEPA). From CollegeFootballData, 2013 on.

2017 Texas A&M 13 games, 548 rushing yards, 12 TD

Date	Opponent	Result	Car	Yds	TD	Long	Rec	Rec yds
Sep 3	atUCLA	L 44–⁠45	18	114	3	20	–	–
Sep 9	vs.Nicholls	W 24–⁠14	6	20	0	9	1	12
Sep 16	vs.Louisiana	W 45–⁠21	7	−4	0	3	3	16
Sep 23	vs.Arkansas	W 50–⁠43	14	102	2	44	–	–
Sep 30	vs.South Carolina	W 24–⁠17	12	70	2	17	2	10
Oct 7	vs.Alabama	L 19–⁠27	11	19	0	5	4	17
Oct 14	atFlorida	W 19–⁠17	9	22	0	4	–	–
Oct 28	vs.Mississippi State	L 14–⁠35	8	25	1	7	–	–
Nov 4	vs.Auburn	L 27–⁠42	14	45	1	10	1	9
Nov 11	vs.New Mexico	W 55–⁠14	5	16	1	12	–	–
Nov 18	atOle Miss	W 31–⁠24	11	57	1	43	–	–
Nov 25	atLSU	L 21–⁠45	7	7	0	5	1	7
Dec 29 ✦	vs.Wake Forest	L 52–⁠55	17	55	1	34	2	13

2016 Texas A&M 13 games, 669 rushing yards, 6 TD

Date	Opponent	Result	Car	Yds	TD	Long	Rec	Rec yds
Sep 3	vs.UCLA	W 31–⁠24	14	65	1	20	–	–
Sep 10	vs.Prairie View A&M	W 67–⁠0	8	62	2	16	1	40
Sep 17	atAuburn	W 29–⁠16	10	28	0	7	–	–
Sep 24	vs.Arkansas	W 45–⁠24	10	55	0	27	–	–
Oct 1	atSouth Carolina	W 24–⁠13	1	3	0	3	–	–
Oct 8	vs.Tennessee	W 45–⁠38	6	29	0	22	1	14
Oct 22	atAlabama	L 14–⁠33	15	62	0	15	1	21
Oct 29	vs.New Mexico State	W 52–⁠10	7	48	0	18	–	–
Nov 5	atMississippi State	L 28–⁠35	9	33	0	7	–	–
Nov 12	vs.Ole Miss	L 28–⁠29	8	27	2	6	–	–
Nov 19	vs.UTSA	W 23–⁠10	13	71	0	22	–	–
Nov 24	vs.LSU	L 39–⁠54	15	100	0	28	–	–
Dec 28 ✦	vs.Kansas State	L 28–⁠33	10	86	1	25	2	6

2014 Oklahoma 8 games, 392 rushing yards, 5 TD

Date	Opponent	Result	Car	Yds	TD	Long	Rec	Rec yds
Aug 30	vs.Louisiana Tech	W 48–⁠16	9	51	2	22	4	65
Sep 6	atTulsa	W 52–⁠7	10	87	2	23	–	–
Sep 13	vs.Tennessee	W 34–⁠10	15	56	1	13	2	35
Nov 8	vs.Baylor	L 14–⁠48	8	40	0	18	2	6
Nov 15	atTexas Tech	W 42–⁠30	8	25	0	7	–	–
Nov 22	vs.Kansas	W 44–⁠7	8	34	0	13	–	–
Dec 6	vs.Oklahoma State	L 35–⁠38	9	91	0	56	3	34
Dec 29 ✦	vs.Clemson	L 6–⁠40	4	8	0	8	–	–

2013 Oklahoma 5 games, 134 rushing yards, 1 TD

Date	Opponent	Result	Car	Yds	TD	Long	Rec	Rec yds
Aug 31	vs.UL Monroe	W 34–⁠0	4	20	0	7	–	–
Sep 14	vs.Tulsa	W 51–⁠20	7	46	1	23	–	–
Oct 12	vs.Texas	L 20–⁠36	6	34	0	14	–	–
Oct 19	atKansas	W 34–⁠19	3	19	0	11	–	–
Jan 2 ✦	vs.Alabama	W 45–⁠31	3	15	0	12	–	–

Box scores from CollegeFootballData, 2004 on. ✦ postseason; ★ a career high on file.

Combine and pro day results compiled by array-carpenter (nfl-draft-data).

Leagues other than the NFL, from the infobox of his Wikipedia article (CC BY-SA), as it names the teams.