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Michael Trigg

#1Michael Trigg

Michael Trigg is a Versatile TE for Baylor. Michael's 2025 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 81 plays — a average rate for the TE.

2026 Usage Outlook · projected share of team plays

6%
projected
band 4%'25 10%8%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
50 Receptions694 Rec yards6 Rec TD13.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
Player type
Versatile TE

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

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)50th %ile · average
Game-to-game consistency71th %ile · average
Key findings
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.53 EPA/play decline from first to second half.
  • Peak game: 1.48 EPA/play in Wk 5 vs Oklahoma State (SP+ -15).

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 · TE · efficiency + volume + value

Players from 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Seth GreenMinnesota2018830.3900.032.4
Ty ThompsonTulane2024480.4200.420.2
Johnny LanganRutgers2020590.3000.017.7
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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

Game Log · box score + EPA, week by week

Wk 1 vs Auburn: -0.04 EPA/play1Wk 2 vs SMU: +0.44 EPA/play2Wk 3 vs Samford: +0.85 EPA/play3Wk 4 vs Arizona State: +1.09 EPA/play4Wk 5 vs Oklahoma State: +1.48 EPA/play5Wk 6 vs Kansas State: +0.82 EPA/play6Wk 8 vs TCU: -0.25 EPA/play8Wk 10 vs UCF: +0.96 EPA/play10Wk 12 vs Utah: +0.23 EPA/play12Wk 13 vs Arizona: +0.00 EPA/play13
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsAuburnL24-3811.679914.1120-0.04
2@SMUW48-4513.44389.50130.44
3vsSamfordW42-72147.00110.85
4vsArizona StateL24-273.957114.22331.09
5@Oklahoma StateW45-27-15.136220.71351.48
6vsKansas StateW35-347.0815519.40420.82
8@TCUL36-428.335618.7036-0.25
9@CincinnatiL20-414.533010.0115
10vsUCFW30-3-1.258216.41320.96
12vsUtahL28-5522.234214.00270.23
13@ArizonaL17-4112.07456.40150.00

Usage & Situational · Pro

Snap-share proxy
Overall
10.3%
Passing plays
17.7%
Rushing plays
0.0%
Standard downs
9.0%
Passing downs
13.2%
EPA by down type
Standard downs
0.27
Passing downs
0.61
Pass / Rush EPA
0.41 / —

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.