Skip to content
Taeo Todd

#35Taeo Todd

Taeo Todd is a Pass-Catching Back for Georgia Southern. Taeo's 2025 season produced -1.4 total EPA across 30 plays.

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 Taeo Todd'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
102 Rush yards0 Rush TD26 Carries3.9 Yards/carry
Receiving
11 Receptions59 Rec yards0 Rec TD5.4 Yards/rec
Returns
3 Kick returns49 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume24
  • Explosiveness18
  • Consistency1
  • 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)0th %ile · below avg
Game-to-game consistency1th %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.
  • Peak game: 0.42 EPA/play in Wk 9 vs Arkansas State (SP+ -9).

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

+0.4200.42Wk 4 vs Maine: -0.39 EPA/play4Wk 9 vs Arkansas State: +0.42 EPA/play9Wk 11 vs App State: -0.17 EPA/play11Wk 12 vs Coastal Carolina: -0.37 EPA/play12Wk 13 vs Old Dominion: -0.02 EPA/play13Wk 14 vs Marshall: +0.03 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
4vsMaineW45-17210.50-0.39
9@Arkansas StateL24-34-8.8100.0011100.42
11@App StateW25-23-11.4144.00-0.17
12vsCoastal CarolinaW45-40-15.12126.002-10-0.37
13vsOld DominionL10-455.97253.604250-0.02
14@MarshallW24-19-4.513604.6042400.03
20vsApp StateW29-10-11.4

Usage & Situational · Pro

Snap-share proxy
Overall
8.4%
Passing plays
5.4%
Rushing plays
12.2%
Standard downs
7.7%
Passing downs
10.2%
EPA by down type
Standard downs
-0.33
Passing downs
0.52
Pass / Rush EPA
-0.04 / -0.05

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.