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Cam Coleman

#8Cam Coleman

Cam Coleman is a Versatile WR for Auburn. Cam's 2025 season ranks in the 88th percentile nationally by opponent-adjusted EPA per play across 80 plays — a above-average rate for the WR.

2026 Usage Outlook · projected share of team plays

9%
projected
band 6%'25 11%13%

Regressed toward the WR mean. Model correlation r≈0.47 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
57 Receptions725 Rec yards5 Rec TD12.7 Yards/rec

Performance Analysis · 2025 · vs WR peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
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)88th %ile · above avg
Game-to-game consistency68th %ile · average
Key findings
  • Above-average efficiency for the WR position (88th percentile).
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.13 from the first to second half of the season.
  • Peak game: 1.01 EPA/play in Wk 4 vs Oklahoma (SP+ 18).

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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Eli HeidenreichNavy2024660.3400.722.4
Zach AbeyNavy2016700.3700.825.9
Chris TyreeNotre Dame2020760.3100.623.6
Noah ShortArmy2024690.3000.520.7
Malik DunnerBall State2017760.2900.422.0

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

Game Log · box score + EPA, week by week

Wk 1 vs Baylor: -0.16 EPA/play1Wk 2 vs Ball State: +0.65 EPA/play2Wk 3 vs South Alabama: +0.47 EPA/play3Wk 4 vs Oklahoma: +1.01 EPA/play4Wk 5 vs Texas A&M: -0.23 EPA/play5Wk 7 vs Georgia: +0.03 EPA/play7Wk 8 vs Missouri: +0.61 EPA/play8Wk 10 vs Kentucky: +0.33 EPA/play10Wk 11 vs Vanderbilt: +0.76 EPA/play11Wk 13 vs Mercer: +0.35 EPA/play13Wk 14 vs Alabama: +0.09 EPA/play14
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@BaylorW38-241.412323.0023-0.16
2vsBall StateW42-3-23.077711.00230.65
3vsSouth AlabamaW31-15-12.724924.51320.47
4@OklahomaL17-2418.338829.31461.01
5@Texas A&ML10-1620.74184.505-0.23
7vsGeorgiaL10-2024.17507.10120.03
8vsMissouriL17-2314.4610818.00460.61
9@ArkansasW33-245.122713.5123
10vsKentuckyL3-101.85346.80140.33
11@VanderbiltL38-4520.31014314.31320.76
13vsMercerW62-1756513.01190.35
14vsAlabamaL20-2714.85438.60170.09

Usage & Situational · Pro

Snap-share proxy
Overall
11.4%
Passing plays
23.1%
Rushing plays
0.0%
Standard downs
11.3%
Passing downs
11.5%
EPA by down type
Standard downs
0.42
Passing downs
0.24
Pass / Rush EPA
0.36 / —

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.