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Derrick McFall

#0Derrick McFall

WR·SMU·2025

Derrick McFall is a Versatile WR for SMU. Derrick's 2025 season ranks in the 67th percentile nationally by opponent-adjusted EPA per play across 58 plays — a average 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 Derrick McFall'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
189 Rush yards4 Rush TD35 Carries5.4 Yards/carry
Receiving
19 Receptions160 Rec yards2 Rec TD8.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume21
  • Explosiveness9
  • Consistency46
  • 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)67th %ile · average
Game-to-game consistency46th %ile · average
Key findings
  • 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 — 0.41 EPA/play decline from first to second half.
  • Peak game: 2.55 EPA/play in Wk 6 vs Syracuse (SP+ -13).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

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
Amare JonesTulane0.1800.012.8
Justin LynchTemple0.2400.315.1
Brandon ChatmanNavy0.2300.612.0
Davis BrysonKennesaw State0.2000.019.4
Eli HeidenreichNavy0.2200.815.4

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

Game Log · box score + EPA, week by week

+2.5502.55Wk 1 vs East Texas A&M: -0.25 EPA/play1Wk 2 vs Baylor: -0.67 EPA/play2Wk 3 vs Missouri State: +0.40 EPA/play3Wk 4 vs TCU: +0.20 EPA/play4Wk 6 vs Syracuse: +2.55 EPA/play6Wk 7 vs Stanford: +1.86 EPA/play7Wk 8 vs Clemson: +0.36 EPA/play8Wk 9 vs Wake Forest: -0.17 EPA/play9Wk 10 vs Miami: +0.49 EPA/play10Wk 11 vs Boston College: +0.66 EPA/play11Wk 13 vs Louisville: -0.09 EPA/play13Wk 14 vs California: +0.44 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast Texas A&MW42-13-0.25
2vsBaylorL45-481.4-0.67
3@Missouri StateW28-10-10.73206.7080.40
4@TCUL24-358.3166.0060.20
6vsSyracuseW31-18-13.111414.01142.55
7vsStanfordW34-10-11.822613.01191.86
8@ClemsonW35-249.50.36
9@Wake ForestL12-135.74174.308-0.17
10vsMiamiW26-2020.735819.30270.49
11@Boston CollegeW45-13-8.50.66
13vsLouisvilleW38-612.4294.506-0.09
14@CaliforniaL35-38-3.22126.0080.44
20vsArizonaW24-1912.01-2-2.0020

Usage & Situational · Pro

Snap-share proxy
Overall
7.2%
Passing plays
6.0%
Rushing plays
9.0%
Standard downs
8.5%
Passing downs
4.2%
EPA by down type
Standard downs
0.01
Passing downs
0.83
Pass / Rush EPA
0.37 / -0.03

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.