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Alexander Diggs
Alexander Diggs

#3Alexander Diggs

RB·Kennesaw State·2025

Alexander Diggs is a Committee Back for Kennesaw State. Alexander's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 86 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 Alexander Diggs'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
281 Rush yards2 Rush TD72 Carries3.9 Yards/carry
Receiving
10 Receptions49 Rec yards0 Rec TD4.9 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume35
  • Explosiveness18
  • Consistency0
  • Receiving69
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %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.
  • ▸High game-to-game variance — boom-or-bust profile.
  • ▸Production faded as the season progressed — 0.12 EPA/play decline from first to second half.
  • ▸Peak game: 0.56 EPA/play in Wk 3 vs Merrimack.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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

+0.590−0.59Wk 1 vs Wake Forest: +0.06 EPA/play1Wk 2 vs Indiana: -0.25 EPA/play2Wk 3 vs Merrimack: +0.56 EPA/play3Wk 4 vs Arkansas State: +0.20 EPA/play4Wk 5 vs Middle Tennessee: -0.59 EPA/play5Wk 9 vs Florida International: +0.10 EPA/play9Wk 10 vs UTEP: -0.48 EPA/play10Wk 11 vs New Mexico State: -0.27 EPA/play11Wk 12 vs Jacksonville State: -0.10 EPA/play12Wk 13 vs Missouri State: +0.10 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Wake ForestL9-105.711393.501700.06
2@IndianaL9-5632.47243.402-20-0.25
3vsMerrimackW27-13—9556.102900.56
4vsArkansas StateW28-21-8.812322.7122500.20
5vsMiddle TennesseeW24-16-16.0393.00———-0.59
9@Florida InternationalW45-26-10.511696.311-100.10
10vsUTEPW33-20-17.5252.50———-0.48
11@New Mexico StateW24-21-15.57131.902110-0.27
12@Jacksonville StateL26-35-6.77273.90———-0.10
13vsMissouri StateW41-34-10.7382.70———0.10

Usage & Situational · Pro

Snap-share proxy
Overall
12.2%
Passing plays
4.6%
Rushing plays
18.6%
Standard downs
11.4%
Passing downs
13.8%
EPA by down type
Standard downs
0.04
Passing downs
0.00
Pass / Rush EPA
0.14 / 0.01

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.