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DeAndre Washington
DeAndre Washington

#21DeAndre Washington

RB·Texas Tech·20154.0 pts line valueDay 2 (Rds 2–3)

DeAndre Washington is a Featured Back for Texas Tech. DeAndre's 2015 season ranks in the 60th percentile nationally by opponent-adjusted EPA per play across 277 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 DeAndre Washington'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.

2015 Production

Rushing
1492 Rush yards14 Rush TD233 Carries6.4 Yards/carry
Receiving
41 Receptions385 Rec yards2 Rec TD9.4 Yards/rec

Performance Analysis · 2015 · vs RB peers

  • Efficiency60
  • Volume74
  • Explosiveness68
  • Consistency70
  • Receiving58
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)60th %ile · average
Game-to-game consistency70th %ile · average
Key findings
  • 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.
  • Peak game: 0.55 EPA/play in Wk 2 vs UTEP (SP+ -20).

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
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
Hassan HaskinsMichigan0.3804.8106.4
Jonathan TaylorWisconsin0.3504.8107.4

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

Game Log · box score + EPA, week by week

+0.5500.55Wk 1 vs Sam Houston: +0.05 EPA/play1Wk 2 vs UTEP: +0.55 EPA/play2Wk 3 vs Arkansas: -0.05 EPA/play3Wk 4 vs TCU: +0.41 EPA/play4Wk 5 vs Baylor: -0.21 EPA/play5Wk 6 vs Iowa State: +0.52 EPA/play6Wk 7 vs Kansas: +0.03 EPA/play7Wk 8 vs Oklahoma: +0.37 EPA/play8Wk 9 vs Oklahoma State: +0.04 EPA/play9Wk 10 vs West Virginia: +0.38 EPA/play10Wk 11 vs Kansas State: +0.45 EPA/play11Wk 13 vs Texas: +0.29 EPA/play13Wk 1 vs LSU: +0.18 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSam HoustonW59-4513745.7021400.05
2vsUTEPW69-20-19.51213811.511900.55
3@ArkansasW35-2419.211756.803160-0.05
4vsTCUL52-5519.0221888.5433100.41
5vsBaylorL35-6319.513393.005410-0.21
6vsIowa StateW66-31-0.312726.0144810.52
7@KansasW30-20-21.3231576.812300.03
8@OklahomaL27-6322.719944.9111200.37
9vsOklahoma StateL53-709.922954.3121600.04
10@West VirginiaL26-3112.9211024.9066410.38
11vsKansas StateW59-442.6272489.2343600.45
13@TexasW48-453.7281736.2211400.29
1vsLSUL27-5619.710373.7078100.18

Usage & Situational · Pro

Snap-share proxy
Overall
26.0%
Passing plays
8.3%
Rushing plays
52.6%
Standard downs
31.4%
Passing downs
14.9%
EPA by down type
Standard downs
0.16
Passing downs
0.58
Pass / Rush EPA
0.27 / 0.24

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.630−0.29
EPA per play · 2015 · 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.