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Akrum Wadley

#25Akrum Wadley

RB·Iowa·20162.6 pts line valueDay 3 (Rds 4–7)

Akrum Wadley is a Pass-Catching Back for Iowa. Akrum's 2016 season ranks in the 55th percentile nationally by opponent-adjusted EPA per play across 200 plays — a average rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Akrum Wadley'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.

2016 Production

Rushing
1081 Rush yards10 Rush TD168 Carries6.4 Yards/carry
Receiving
36 Receptions315 Rec yards3 Rec TD8.8 Yards/rec

Performance Analysis · 2016 · vs RB peers

  • Efficiency55
  • Volume73
  • Explosiveness68
  • Consistency61
  • Receiving92
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)55th %ile · average
Game-to-game consistency61th %ile · average
Key findings
  • 3 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 — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.76 EPA/play in Wk 1 vs Miami (OH) (SP+ -6).

Historical Comparables · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Travis EtienneClemson0.4704.7100.1
James FlandersTulsa0.3904.9103.7
Saquon BarkleyPenn State0.4105.298.4
Dalvin CookFlorida State0.3404.399.3

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

Game Log · box score + EPA, week by week

+0.7600.76Wk 1 vs Miami (OH): +0.76 EPA/play1Wk 2 vs Iowa State: +0.55 EPA/play2Wk 3 vs North Dakota State: -0.26 EPA/play3Wk 4 vs Rutgers: +0.30 EPA/play4Wk 5 vs Northwestern: -0.00 EPA/play5Wk 6 vs Minnesota: +0.03 EPA/play6Wk 7 vs Purdue: +0.68 EPA/play7Wk 8 vs Wisconsin: +0.20 EPA/play8Wk 10 vs Penn State: +0.14 EPA/play10Wk 11 vs Michigan: +0.15 EPA/play11Wk 12 vs Illinois: -0.10 EPA/play12Wk 13 vs Nebraska: +0.34 EPA/play13Wk 1 vs Florida: +0.07 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsMiami (OH)W45-21-6.11212110.1232100.76
2vsIowa StateW42-30.79495.4112610.55
3vsNorth Dakota StateL21-234205.00170-0.26
4@RutgersW14-7-14.912847.0123800.30
5vsNorthwesternL31-382.914352.52110-0.00
6@MinnesotaW14-712.6141077.611-200.03
7@PurdueW49-35-11.01517611.7122500.68
8vsWisconsinL9-1716.110444.4077200.20
10@Penn StateL14-4119.09283.1053210.14
11vsMichiganW14-1324.4231155.0055210.15
12@IllinoisW28-0-6.713826.31230-0.10
13vsNebraskaW40-1010.3111059.5121900.34
1vsFloridaL3-3015.4221155.2042100.07

Usage & Situational · Pro

Snap-share proxy
Overall
25.5%
Passing plays
12.9%
Rushing plays
34.9%
Standard downs
27.7%
Passing downs
20.8%
EPA by down type
Standard downs
0.16
Passing downs
0.43
Pass / Rush EPA
0.54 / 0.15

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.860−0.36
EPA per play · 2016 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

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