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Corey Kiner

#21Corey Kiner

Corey Kiner is a Featured Back for Cincinnati. Corey's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 210 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 Corey Kiner'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.

2024 Production

Rushing
1153 Rush yards4 Rush TD204 Carries5.7 Yards/carry
Receiving
15 Receptions105 Rec yards0 Rec TD7.0 Yards/rec

Performance Analysis · 2024 · vs RB peers

  • Efficiency0
  • Volume75
  • Explosiveness54
  • Consistency66
  • Receiving23
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)0th %ile · below avg
Game-to-game consistency66th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.10 from the first to second half of the season.
  • Peak game: 0.62 EPA/play in Wk 13 vs Kansas State (SP+ 14).

NIL Market Tier· 2024

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 · 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
Donnel PumphreySan Diego State0.3204.2110.1

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

Game Log · box score + EPA, week by week

+0.6200.62Wk 1 vs Towson: +0.35 EPA/play1Wk 2 vs Pittsburgh: +0.42 EPA/play2Wk 3 vs Miami (OH): +0.23 EPA/play3Wk 4 vs Houston: -0.02 EPA/play4Wk 5 vs Texas Tech: -0.10 EPA/play5Wk 7 vs UCF: -0.08 EPA/play7Wk 8 vs Arizona State: +0.12 EPA/play8Wk 9 vs Colorado: +0.16 EPA/play9Wk 11 vs West Virginia: -0.00 EPA/play11Wk 12 vs Iowa State: +0.35 EPA/play12Wk 13 vs Kansas State: +0.62 EPA/play13Wk 14 vs TCU: +0.17 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsTowsonW38-207517.300.35
2vsPittsburghL27-284.9201497.5021800.42
3@Miami (OH)W27-161.3211266.010.23
4vsHoustonW34-0-8.216784.911130-0.02
5@Texas TechL41-444.3393.00-0.10
7@UCFW19-132.817834.90190-0.08
8vsArizona StateW24-149.4221024.6021700.12
9@ColoradoL23-348.117945.504800.16
11vsWest VirginiaL24-312.125913.612180-0.00
12@Iowa StateL17-3410.3181206.701400.35
13@Kansas StateL15-4114.1151409.3021800.62
14vsTCUL13-2010.8231104.810.17

Usage & Situational · Pro

Snap-share proxy
Overall
26.4%
Passing plays
3.4%
Rushing plays
49.5%
Standard downs
29.0%
Passing downs
20.4%
EPA by down type
Standard downs
0.09
Passing downs
0.50
Pass / Rush EPA
0.63 / 0.15

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.