Marcus Mcgill Stats, EPA & Player Profile

Performance Analysis · 2014 · vs WR peers

Player type

Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role

Peer percentiles

Opponent-adjusted EPA (WEPA/play)100th %ile · elite

Game-to-game consistency73th %ile · average

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game consistency — reliable floor each week.
▸6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Strong second-half surge — EPA/play improved 1.12 from the first to second half of the season.
▸Peak game: 2.87 EPA/play in Wk 9 vs Central Michigan (SP+ -5).

EPA per play, by weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Rec	Rec Yds	Avg	Rec TD	Long	EPA/play
1	vsDuquesne	W38-28	—	4	40	10.0	0	17	0.64
2	@Army	L39-47	-16.9	7	128	18.3	2	65	1.55
4	vsNorfolk State	W36-7	—	—	—	—	—	—	-0.64
5	vsMiami (OH)	W35-27	-18.7	2	21	10.5	0	12	1.15
6	@Bowling Green	L35-36	-5.4	3	41	13.7	0	21	1.16
7	@Eastern Michigan	L27-37	-25.9	4	74	18.5	1	33	0.89
9	vsCentral Michigan	L14-20	-5.2	2	39	19.5	0	34	2.87

Snap-share proxy

Overall

5.2%

Passing plays

10.4%

Rushing plays

0.0%

Standard downs

4.6%

Passing downs

6.7%

EPA by down type

Usage = share of team plays (CFBD has no true snap counts).

Plays

Usage

vs Central MichiganWk 9

EPA 2.9

Rec 2 · Rec Yds 39 · Avg 19.5 · Rec TD 0