Skip to content
Deshaun Buchanan
Deshaun Buchanan

#8Deshaun Buchanan

Deshaun Buchanan is a Pass-Catching Back for New Mexico.

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 Deshaun Buchanan'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
14 Rush yards0 Rush TD7 Carries2.0 Yards/carry
Receiving
6 Receptions56 Rec yards0 Rec TD9.3 Yards/rec
Returns
2 Kick returns32 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency13
  • Volume7
  • Explosiveness0
  • Consistency0
  • Receiving100
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 consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 3.98 from the first to second half of the season.
  • Peak game: 3.88 EPA/play in Wk 10 vs UNLV (SP+ 4).

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.

Game Log · box score + EPA, week by week

+3.8803.88Wk 1 vs Michigan: +0.19 EPA/play1Wk 2 vs Idaho State: -0.40 EPA/play2Wk 3 vs UCLA: -2.04 EPA/play3Wk 6 vs San José State: -0.03 EPA/play6Wk 7 vs Boise State: -0.96 EPA/play7Wk 9 vs Utah State: +2.79 EPA/play9Wk 10 vs UNLV: +3.88 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@MichiganL17-3412.4111.0031700.19
2vsIdaho StateW32-22122.00-0.40
3@UCLAW35-10-8.7122.00150-2.04
5vsNew Mexico StateW38-20-15.5
6@San José StateL28-35-14.3155.00140-0.03
7@Boise StateL25-413.1100.00-0.96
8vsNevadaW24-22-13.4
9vsUtah StateW33-14-3.111414.002.79
10@UNLVW40-354.313003.88
13@Air ForceW20-3-3.2
14vsSan Diego StateW23-176.7
20vsMinnesotaL17-201.51-10-10.00

Usage & Situational · Pro

Snap-share proxy
Overall
2.6%
Passing plays
2.7%
Rushing plays
2.6%
Standard downs
2.1%
Passing downs
3.8%
EPA by down type
Standard downs
-0.23
Passing downs
0.71
Pass / Rush EPA
0.88 / -0.56

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.