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Elijah Tau-Tolliver
Elijah Tau-Tolliver

#4Elijah Tau-Tolliver

Elijah Tau-Tolliver is a Pass-Catching Back for Michigan State. Elijah's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 85 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 Elijah Tau-Tolliver'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
428 Rush yards2 Rush TD72 Carries5.9 Yards/carry
Receiving
18 Receptions139 Rec yards0 Rec TD7.7 Yards/rec
Returns
6 Kick returns79 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume37
  • Explosiveness58
  • Consistency0
  • Receiving83
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)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.
  • Peak game: 0.59 EPA/play in Wk 3 vs Youngstown State.

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

+0.5900.59Wk 1 vs Western Michigan: -0.41 EPA/play1Wk 3 vs Youngstown State: +0.59 EPA/play3Wk 4 vs USC: +0.34 EPA/play4Wk 7 vs UCLA: -0.26 EPA/play7Wk 8 vs Indiana: -0.04 EPA/play8Wk 9 vs Michigan: +0.12 EPA/play9Wk 10 vs Minnesota: -0.02 EPA/play10Wk 12 vs Penn State: +0.54 EPA/play12Wk 13 vs Iowa: -0.32 EPA/play13Wk 14 vs Maryland: +0.39 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsWestern MichiganW23-6-1.48172.10-0.41
2vsBoston CollegeW42-40-8.5111.00
3vsYoungstown StateW41-244379.310.59
4@USCL31-4516.9242.000.34
7vsUCLAL13-38-8.7122.00150-0.26
8@IndianaL13-3832.45132.603300-0.04
9vsMichiganL20-3112.45183.602900.12
10@MinnesotaL20-231.51112711.50140-0.02
12vsPenn StateL10-2818.167913.2187300.54
13@IowaL17-2019.716352.20180-0.32
14vsMarylandW38-280.613957.3021000.39

Usage & Situational · Pro

Snap-share proxy
Overall
13.0%
Passing plays
5.9%
Rushing plays
21.7%
Standard downs
15.9%
Passing downs
6.4%
EPA by down type
Standard downs
0.10
Passing downs
-0.15
Pass / Rush EPA
0.17 / 0.03

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.