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Rodney Gallagher
Rodney Gallagher

Rodney Gallagher

Rodney Gallagher is a Versatile WR for West Virginia. Rodney's 2025 season produced 12.9 total EPA across 45 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 Rodney Gallagher'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
83 Rush yards0 Rush TD14 Carries5.9 Yards/carry
Receiving
28 Receptions243 Rec yards0 Rec TD8.7 Yards/rec
Returns
1 Punt returns0 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness11
  • Consistency61
  • Pass-Down83
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 consistency61th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 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 — 0.51 EPA/play decline from first to second half.
  • Peak game: 2.09 EPA/play in Wk 6 vs BYU (SP+ 16).

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
Nick NashSan José State0.3100.514.0
Tyler BuchnerNotre Dame0.2500.312.8
Keytaon ThompsonVirginia0.3200.412.5
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+2.0902.09Wk 1 vs Robert Morris: +0.61 EPA/play1Wk 2 vs Ohio: +0.09 EPA/play2Wk 3 vs Pittsburgh: +0.32 EPA/play3Wk 4 vs Kansas: +1.16 EPA/play4Wk 5 vs Utah: +0.07 EPA/play5Wk 6 vs BYU: +2.09 EPA/play6Wk 8 vs UCF: +0.05 EPA/play8Wk 9 vs TCU: -0.07 EPA/play9Wk 10 vs Houston: +0.72 EPA/play10Wk 11 vs Colorado: +0.63 EPA/play11Wk 12 vs Arizona State: +0.13 EPA/play12Wk 14 vs Texas Tech: -0.16 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsRobert MorrisW45-30.61
2@OhioL10-17-4.011212.00120.09
3vsPittsburghW31-248.47618.70200.32
4@KansasL10-414.122110.50111.16
5vsUtahL14-4822.22199.50190.07
6@BYUL24-3815.911313.00132.09
8@UCFL13-45-1.22115.50100.05
9vsTCUL17-238.35224.407-0.07
10@HoustonW45-357.455310.60260.72
11vsColoradoW29-22-8.30.63
12@Arizona StateL23-253.911919.00190.13
14vsTexas TechL0-4927.62126.006-0.16

Usage & Situational · Pro

Snap-share proxy
Overall
6.1%
Passing plays
10.9%
Rushing plays
2.9%
Standard downs
5.4%
Passing downs
7.8%
EPA by down type
Standard downs
0.22
Passing downs
0.41
Pass / Rush EPA
0.32 / 0.20

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.