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Gavin Sawchuk

#27Gavin Sawchuk

Gavin Sawchuk is a Explosive Back for Florida State. Gavin's 2025 season ranks in the 83th percentile nationally by opponent-adjusted EPA per play across 125 plays — a above-average 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 Gavin Sawchuk'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
486 Rush yards8 Rush TD109 Carries4.5 Yards/carry
Receiving
13 Receptions121 Rec yards1 Rec TD9.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency83
  • Volume43
  • Explosiveness30
  • Consistency34
  • Receiving62
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Game-to-game consistency34th %ile · below avg
Key findings
  • Above-average efficiency for the RB position (83th percentile).
  • High game-to-game variance — boom-or-bust profile.
  • Production faded as the season progressed — 0.60 EPA/play decline from first to second half.
  • Peak game: 1.57 EPA/play in Wk 2 vs East Texas A&M.

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 · RB · 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
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.3403.997.9

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

Game Log · box score + EPA, week by week

+1.5701.57Wk 1 vs Alabama: +0.03 EPA/play1Wk 2 vs East Texas A&M: +1.57 EPA/play2Wk 4 vs Kent State: +0.88 EPA/play4Wk 5 vs Virginia: +0.28 EPA/play5Wk 6 vs Miami: +0.10 EPA/play6Wk 7 vs Pittsburgh: +0.35 EPA/play7Wk 8 vs Stanford: +0.07 EPA/play8Wk 10 vs Wake Forest: +0.19 EPA/play10Wk 11 vs Clemson: -0.26 EPA/play11Wk 12 vs Virginia Tech: -0.18 EPA/play12Wk 13 vs NC State: +0.14 EPA/play13Wk 14 vs Florida: -0.37 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsAlabamaW31-1714.86284.711300.03
2vsEast Texas A&MW77-38354.4215311.57
4vsKent StateW66-10-19.311978.820.88
5@VirginiaL38-4611.117744.411400.28
6vsMiamiL22-2820.711474.3032500.10
7vsPittsburghL31-348.414715.1011600.35
8@StanfordL13-20-11.820703.502100.07
10vsWake ForestW42-75.76101.720.19
11@ClemsonL10-249.5111.00270-0.26
12vsVirginia TechW34-14-10.13113.70-0.18
13@NC StateL11-214.88354.401500.14
14@FloridaL21-403.5471.80170-0.37

Usage & Situational · Pro

Snap-share proxy
Overall
14.9%
Passing plays
5.1%
Rushing plays
22.5%
Standard downs
18.0%
Passing downs
7.8%
EPA by down type
Standard downs
0.28
Passing downs
0.34
Pass / Rush EPA
0.40 / 0.27

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.