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DJ McKinney

DJ McKinney

DJ McKinney is a Pass-Catching Back for New Mexico. DJ's 2025 season ranks in the 13th percentile nationally by opponent-adjusted EPA per play across 134 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 DJ McKinney'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
464 Rush yards7 Rush TD111 Carries4.2 Yards/carry
Receiving
15 Receptions161 Rec yards0 Rec TD10.7 Yards/rec
Returns
3 Kick returns46 KR yards0 KR TD5 Punt returns73 PR yards1 PR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency13
  • Volume45
  • Explosiveness24
  • Consistency33
  • Receiving71
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)13th %ile · below avg
Game-to-game consistency33th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.12 from the first to second half of the season.
  • Peak game: 0.51 EPA/play in Wk 1 vs Michigan (SP+ 12).

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 · 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

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

Game Log · box score + EPA, week by week

+0.5100.51Wk 1 vs Michigan: +0.51 EPA/play1Wk 2 vs Idaho State: +0.28 EPA/play2Wk 3 vs UCLA: +0.31 EPA/play3Wk 5 vs New Mexico State: -0.01 EPA/play5Wk 6 vs San José State: -0.39 EPA/play6Wk 7 vs Boise State: -0.33 EPA/play7Wk 8 vs Nevada: +0.31 EPA/play8Wk 9 vs Utah State: +0.45 EPA/play9Wk 10 vs UNLV: -0.17 EPA/play10Wk 12 vs Colorado State: +0.27 EPA/play12Wk 13 vs Air Force: -0.01 EPA/play13Wk 14 vs San Diego State: +0.36 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@MichiganL17-3412.4252.501100.51
2vsIdaho StateW32-227456.401700.28
3@UCLAW35-10-8.721894.2112000.31
5vsNew Mexico StateW38-20-15.511363.302100-0.01
6@San José StateL28-35-14.34112.80-0.39
7@Boise StateL25-413.13155.00-0.33
8vsNevadaW24-22-13.48394.9234300.31
9vsUtah StateW33-14-3.111534.8111100.45
10@UNLVW40-354.37202.91100-0.17
12vsColorado StateW20-17-15.617523.1125700.27
13@Air ForceW20-3-3.214433.10160-0.01
14vsSan Diego StateW23-176.744611.511100.36
20vsMinnesotaL17-201.52105.00150

Usage & Situational · Pro

Snap-share proxy
Overall
15.8%
Passing plays
6.2%
Rushing plays
24.9%
Standard downs
18.1%
Passing downs
10.5%
EPA by down type
Standard downs
0.20
Passing downs
0.05
Pass / Rush EPA
0.33 / 0.14

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.