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Dalen Cobb

#1Dalen Cobb

Dalen Cobb is a Versatile WR for Georgia Southern. Dalen's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 94 plays — a elite rate for the WR.

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 Dalen Cobb'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

Rushing
47 Rush yards1 Rush TD15 Carries3.1 Yards/carry
Receiving
57 Receptions506 Rec yards3 Rec TD8.9 Yards/rec
Returns
19 Kick returns502 KR yards1 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume37
  • Explosiveness13
  • Consistency79
  • Pass-Down100
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 consistency79th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.18 from the first to second half of the season.
  • Peak game: 0.67 EPA/play in Wk 11 vs App State (SP+ -11).

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.

PlayerTeamWEPA/playLine valTotal EPA
Malik DunnerBall State0.2900.422.0
Noah ShortArmy0.3000.520.7
Chris TyreeNotre Dame0.3100.623.6
Samajie GrantArizona0.2500.315.5
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+0.6700.67Wk 1 vs Fresno State: +0.30 EPA/play1Wk 2 vs USC: +0.28 EPA/play2Wk 3 vs Jacksonville State: +0.39 EPA/play3Wk 4 vs Maine: +0.54 EPA/play4Wk 5 vs James Madison: -0.21 EPA/play5Wk 7 vs Southern Miss: +0.21 EPA/play7Wk 8 vs Georgia State: +0.15 EPA/play8Wk 9 vs Arkansas State: +0.44 EPA/play9Wk 11 vs App State: +0.67 EPA/play11Wk 12 vs Coastal Carolina: +0.48 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Fresno StateL14-421.83258.30200.30
2@USCL20-5916.96599.81170.28
3vsJacksonville StateW41-34-6.767011.70230.39
4vsMaineW45-1744912.31250.54
5@James MadisonL10-3512.34153.807-0.21
7vsSouthern MissL35-38-7.144010.00210.21
8vsGeorgia StateW41-24-24.57436.11120.15
9@Arkansas StateL24-34-8.84328.00100.44
11@App StateW25-23-11.48577.10140.67
12vsCoastal CarolinaW45-40-15.168113.50430.48
13vsOld DominionL10-455.9
20vsApp StateW29-10-11.45357.0013

Usage & Situational · Pro

Snap-share proxy
Overall
13.1%
Passing plays
22.4%
Rushing plays
3.8%
Standard downs
12.4%
Passing downs
14.8%
EPA by down type
Standard downs
0.11
Passing downs
0.61
Pass / Rush EPA
0.35 / 0.07

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.