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Darrick Bledsoe III
Darrick Bledsoe III

#0Darrick Bledsoe III

Darrick Bledsoe III is a Versatile WR for Sam Houston.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Darrick Bledsoe III'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

Receiving
7 Receptions86 Rec yards0 Rec TD12.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency83
  • Volume12
  • Explosiveness35
  • Consistency49
  • Pass-Down29
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Game-to-game consistency49th %ile · average
Key findings
  • Above-average efficiency for the WR position (83th percentile).
  • Limited usage share suggests a rotational or specialist role.
  • Strong second-half surge — EPA/play improved 0.54 from the first to second half of the season.
  • Peak game: 0.62 EPA/play in Wk 12 vs Delaware (SP+ -11).

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.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Samajie GrantArizona0.2500.315.5
Justin LynchTemple0.2400.315.1
Amare JonesTulane0.2300.813.3

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.6200.62Wk 1 vs UNLV: +0.05 EPA/play1Wk 4 vs Texas: -0.22 EPA/play4Wk 6 vs New Mexico State: +0.28 EPA/play6Wk 12 vs Delaware: +0.62 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@Western KentuckyL24-411.611212.0012
1vsUNLVL21-384.32178.5090.05
4@TexasL0-5516.211010.0010-0.22
6@New Mexico StateL10-37-15.522311.50170.28
12vsDelawareW26-23-10.912424.00240.62
14vsFlorida InternationalL16-56-10.5

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
7.1%
Rushing plays
0.0%
Standard downs
4.2%
Passing downs
4.1%
EPA by down type
Standard downs
0.27
Passing downs
0.15
Pass / Rush EPA
0.23 / —

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.