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Sedrick Alexander
Sedrick Alexander

#28Sedrick Alexander

Sedrick Alexander is a Pass-Catching Back for Vanderbilt.

2026 Usage Outlook · projected share of team plays

15%
projected
band 8%'25 15%22%

Regressed toward the RB mean. Model correlation r≈0.52 on a 2019-2025 walk-forward — volume only; efficiency not projected.

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 Sedrick Alexander'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.

2026 Production

Rushing
99 Rush yards2 Rush TD19 Carries5.2 Yards/carry
Receiving
3 Receptions19 Rec yards0 Rec TD6.3 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

6
Targets
6.0y
Avg depth
8.0y
After catch
50%
Catch rate

The ball travels 6.0 yards in the air on an average target 2.9 yards shorter than the median. Another 8.0 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
1
0% · 0y
0
0
short
2
100% · 12y
1
0% · 0y
2
50% · 7y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2026 · vs RB peers

  • Efficiency13
  • Volume51
  • Explosiveness44
  • Consistency50
  • 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
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.

NIL Market Tier· 2026

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

+0.2300.23Wk 1 vs Austin Peay: +0.23 EPA/play1Wk 2 vs Delaware: +0.10 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsAustin PeayW28-910606.011400.23
2vsDelawareW35-26-7.69394.3121500.10

Usage & Situational · Pro

Snap-share proxy
Overall
17.8%
Passing plays
10.3%
Rushing plays
24.7%
Standard downs
19.6%
Passing downs
13.2%
EPA by down type
Standard downs
0.32
Passing downs
-0.43
Pass / Rush EPA
-0.20 / 0.29

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.420−0.67
EPA per play · 2025 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.