Scores
Dev
← Player leaders
Mason Mini

#85Mason Mini

Mason Mini is a Versatile TE for California. Mason's 2025 season produced 18.6 total EPA across 43 plays.

2026 Usage Outlook · projected share of team plays

5%
projected
band 3%'25 7%7%

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

2025 Production

Receiving
35 Receptions387 Rec yards4 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)100th %ile · elite
Game-to-game consistency74th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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.
  • Strong second-half surge — EPA/play improved 0.10 from the first to second half of the season.
  • Peak game: 1.21 EPA/play in Wk 6 vs Duke (SP+ 7).

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
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
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 Oregon State: +0.66 EPA/play1Wk 2 vs Texas Southern: +0.01 EPA/play2Wk 3 vs Minnesota: +0.21 EPA/play3Wk 4 vs San Diego State: +0.65 EPA/play4Wk 5 vs Boston College: +0.83 EPA/play5Wk 6 vs Duke: +1.21 EPA/play6Wk 8 vs North Carolina: -0.34 EPA/play8Wk 10 vs Virginia: +0.72 EPA/play10Wk 13 vs Stanford: +0.71 EPA/play13
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Oregon StateW34-15-15.94338.31190.66
2vsTexas SouthernW35-35428.40130.01
3vsMinnesotaW27-141.54246.0190.21
4@San Diego StateL0-346.76549.00190.65
5@Boston CollegeW28-24-8.547017.51510.83
6vsDukeL21-456.635618.70281.21
8vsNorth CarolinaW21-18-6.6188.008-0.34
9@Virginia TechL34-42-10.156112.2125
10vsVirginiaL21-3111.123417.00240.72
13@StanfordL10-31-11.8155.0050.71

Usage & Situational · Pro

Snap-share proxy
Overall
7.1%
Passing plays
11.8%
Rushing plays
0.4%
Standard downs
6.3%
Passing downs
8.7%
EPA by down type
Standard downs
0.14
Passing downs
0.84
Pass / Rush EPA
0.46 / -0.65

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.