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Sam Roush

#86Sam Roush

Sam Roush is a Versatile TE for Stanford. Sam's 2025 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 58 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
49 Receptions545 Rec yards2 Rec TD11.1 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 consistency42th %ile · below avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 1.20 EPA/play in Wk 3 vs Boston College (SP+ -9).

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
Johnny LanganRutgers2020590.3000.017.7
Seth GreenMinnesota2018830.3900.032.4
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9
Ty ThompsonTulane2024480.4200.420.2

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 Hawai'i: -0.49 EPA/play1Wk 2 vs BYU: -0.67 EPA/play2Wk 3 vs Boston College: +1.20 EPA/play3Wk 5 vs San José State: +0.73 EPA/play5Wk 7 vs SMU: +0.68 EPA/play7Wk 8 vs Florida State: +0.42 EPA/play8Wk 10 vs Pittsburgh: +0.48 EPA/play10Wk 11 vs North Carolina: +0.29 EPA/play11Wk 13 vs California: -0.33 EPA/play13Wk 14 vs Notre Dame: +0.61 EPA/play14
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Hawai'iL20-231.7362.003-0.49
2@BYUL3-2715.9122.002-0.67
3vsBoston CollegeW30-20-8.537926.31691.20
5vsSan José StateW30-29-14.334314.31210.73
7@SMUL10-3413.488911.10140.68
8vsFlorida StateW20-137.266310.50160.42
9@MiamiL7-4220.75234.607
10vsPittsburghL20-358.4810413.00530.48
11@North CarolinaL15-20-6.66498.20120.29
13vsCaliforniaW31-10-3.22147.0011-0.33
14vsNotre DameL20-4924.447318.30270.61

Usage & Situational · Pro

Snap-share proxy
Overall
9.9%
Passing plays
18.7%
Rushing plays
0.0%
Standard downs
8.5%
Passing downs
12.8%
EPA by down type
Standard downs
0.30
Passing downs
0.41
Pass / Rush EPA
0.35 / —

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.