#10Tommy Maher

WR·Colorado State·2025

Tommy Maher is a Slot Specialist WR for Colorado State. Tommy's 2025 season produced 12.4 total EPA across 47 plays.

What projects, and what doesn't · WRs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

Usage share (volume)0.47
Beats guessing the WR average by 16%. n=6,302 WR seasons
EPA per play (efficiency)0.09
Not projectable — we do not forecast this. n=5,767 WR seasons
Total EPA (value)0.45
Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Tommy Maher's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Receiving

32 Receptions358 Rec yards0 Rec TD11.2 Yards/rec

Returns

7 Punt returns59 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume20
Explosiveness28
Consistency63
Pass-Down74

Player type

Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share

Peer percentiles

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

Game-to-game consistency63th %ile · average

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Production faded as the season progressed — 0.38 EPA/play decline from first to second half.
▸Peak game: 1.30 EPA/play in Wk 6 vs San Diego State (SP+ 7).

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

Player	Team	Yr	Plays	WEPA/play	Line val	Total EPA
Tyler Buchner	Notre Dame	2021	51	0.250	0.3	12.8
Samajie Grant	Arizona	2016	62	0.250	0.3	15.5
Justin Lynch	Temple	2021	63	0.240	0.3	15.1
Brandon Chatman	Navy	2025	52	0.230	0.6	12.0
Nick Nash	San José State	2021	45	0.310	0.5	14.0

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

EPA per play · x-axis: weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Rec	Rec Yds	Avg	Rec TD	Long	EPA/play
1	@Washington	L21-38	18.4	4	29	7.3	0	15	0.88
2	vsNorthern Colorado	W21-17	—	1	9	9.0	0	9	-0.09
4	vsUTSA	L16-17	3.7	4	42	10.5	0	15	0.42
5	vsWashington State	L3-20	3.8	5	51	10.2	0	23	0.38
6	@San Diego State	L24-45	6.7	1	35	35.0	0	35	1.30
7	vsFresno State	W49-21	1.8	1	10	10.0	0	10	0.75
8	vsHawai'i	L19-31	1.7	—	—	—	—	—	-0.74
9	@Wyoming	L0-28	-11.3	5	52	10.4	0	19	0.71
11	vsUNLV	L10-42	4.3	1	11	11.0	0	11	0.25
12	@New Mexico	L17-20	0.9	3	43	14.3	0	15	0.37
13	@Boise State	L21-49	3.1	4	44	11.0	0	32	-0.07
14	vsAir Force	L21-42	-3.2	3	32	10.7	0	18	0.83

Usage & Situational · Pro

Snap-share proxy

Overall

7.1%

Passing plays

13.0%

Rushing plays

0.0%

Standard downs

4.9%

Passing downs

11.1%

EPA by down type

Standard downs: 0.19
Passing downs: 0.33
Pass / Rush EPA: 0.26 / —

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