Daxx Garman

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.

2015 Maryland 2 games, 115 passing yards, 1 TD

Date	Opponent	Result	Cmp	Att	Yds	TD	Int	Rush
Sep 26	atWest Virginia	L 6–⁠45	4	9	86	1	1	2
Oct 3	vs.Michigan	L 0–⁠28	2	9	29	0	0	−15

2014 Oklahoma State 9 games, 2,041 passing yards, 12 TD

Date	Opponent	Result	Cmp	Att	Yds	TD	Int	Rush
Sep 6	vs.Missouri State	W 40–⁠23	16	26	244	2	0	4
Sep 13	vs.UTSA	W 43–⁠13	16	30	315	2	0	−8
Sep 25	vs.Texas Tech	W 45–⁠35	17	31	370	4	2	27
Oct 4	vs.Iowa State	W 37–⁠20	26	41	271	1	2	5
Oct 11	atKansas	W 27–⁠20	17	31	161	1	1	1
Oct 18	atTCU	L 9–⁠42	10	25	132	0	2	−9
Oct 25	vs.West Virginia	L 10–⁠34	21	41	242	1	2	3
Nov 1	atKansas State	L 14–⁠48	12	23	148	0	2	−30
Nov 15	vs.Texas	L 7–⁠28	17	29	158	1	1	−10

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