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Alex Barnes

#34Alex Barnes

RB·Kansas State·20183.3 pts line valueDay 2 (Rds 2–3)

Alex Barnes is a Featured Back for Kansas State. Alex's 2018 season ranks in the 20th percentile nationally by opponent-adjusted EPA per play across 282 plays — a developing 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 Alex Barnes'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.

2018 Production

Rushing
1355 Rush yards12 Rush TD256 Carries5.3 Yards/carry
Receiving
20 Receptions194 Rec yards0 Rec TD9.7 Yards/rec

Performance Analysis · 2018 · vs RB peers

  • Efficiency20
  • Volume100
  • Explosiveness46
  • Consistency51
  • Receiving47
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)20th %ile · below avg
Game-to-game consistency51th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.
  • 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: 0.63 EPA/play in Wk 6 vs Baylor (SP+ 2).

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
Eno BenjaminArizona State0.3304.6104.3
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

+0.6300.63Wk 1 vs South Dakota: -0.19 EPA/play1Wk 2 vs Mississippi State: -0.04 EPA/play2Wk 3 vs UTSA: +0.55 EPA/play3Wk 4 vs West Virginia: +0.08 EPA/play4Wk 5 vs Texas: +0.20 EPA/play5Wk 6 vs Baylor: +0.63 EPA/play6Wk 7 vs Oklahoma State: +0.47 EPA/play7Wk 9 vs Oklahoma: -0.28 EPA/play9Wk 10 vs TCU: +0.06 EPA/play10Wk 11 vs Kansas: +0.41 EPA/play11Wk 12 vs Texas Tech: -0.06 EPA/play12Wk 13 vs Iowa State: +0.24 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSouth DakotaW27-24211034.90290-0.19
2vsMississippi StateL10-3123.217754.402190-0.04
3vsUTSAW41-17-22.113503.8113000.55
4@West VirginiaL6-3513.212494.102700.08
5vsTexasL14-1911.319804.210.20
6@BaylorL34-372.02225011.4322200.63
7vsOklahoma StateW31-1213.8341815.3435100.47
9@OklahomaL14-5124.913282.20-0.28
10@TCUL13-146.9231024.4032200.06
11vsKansasW21-17-10.0221175.3211100.41
12vsTexas TechW21-68.7321364.302150-0.06
13@Iowa StateL38-427.9281846.612800.24

Usage & Situational · Pro

Snap-share proxy
Overall
35.1%
Passing plays
9.0%
Rushing plays
53.9%
Standard downs
43.2%
Passing downs
18.1%
EPA by down type
Standard downs
0.13
Passing downs
0.49
Pass / Rush EPA
0.40 / 0.17

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.720−0.37
EPA per play · 2018 · 12 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.