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Amare Thomas

#0Amare Thomas

Amare Thomas is a Versatile WR for Houston. Amare's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 100 plays — a elite rate for the WR.

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 Amare Thomas'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
67 Receptions966 Rec yards12 Rec TD14.4 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

11
Targets
7.0y
Avg depth
9.5y
After catch
73%
Catch rate

The ball travels 7.0 yards in the air on an average target 2.0 yards shorter than the median. Another 9.5 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
1
100% · 37y
0
0
short
3
67% · 2y
2
50% · 15y
5
80% · 79y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume30
  • Explosiveness49
  • Consistency82
  • Pass-Down49
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)100th %ile · elite
Game-to-game consistency82th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 10 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.41 EPA/play decline from first to second half.
  • Peak game: 1.97 EPA/play in Wk 1 vs Stephen F. Austin.

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+1.9701.97Wk 1 vs Stephen F. Austin: +1.97 EPA/play1Wk 2 vs Rice: +0.64 EPA/play2Wk 3 vs Colorado: +1.73 EPA/play3Wk 5 vs Oregon State: +0.52 EPA/play5Wk 6 vs Texas Tech: +0.29 EPA/play6Wk 7 vs Oklahoma State: +1.33 EPA/play7Wk 8 vs Arizona: +1.05 EPA/play8Wk 9 vs Arizona State: +0.06 EPA/play9Wk 10 vs West Virginia: +0.83 EPA/play10Wk 11 vs UCF: +1.08 EPA/play11Wk 13 vs TCU: +0.42 EPA/play13Wk 14 vs Baylor: +0.95 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsStephen F. AustinW27-034414.71201.97
2@RiceW35-9-14.82168.00180.64
3vsColoradoW36-20-8.335016.70221.73
5@Oregon StateW27-24-15.9610417.30360.52
6vsTexas TechL11-3527.627035.01640.29
7@Oklahoma StateW39-17-15.1715722.40431.33
8vsArizonaW31-2812.046917.32521.05
9@Arizona StateW24-163.93258.30120.06
10vsWest VirginiaL35-45-6.810999.93270.83
11@UCFW30-27-1.2510320.61641.08
13vsTCUL14-178.357214.41230.42
14@BaylorW31-241.499710.81270.95
20vsLSUW38-3510.38607.5219

Usage & Situational · Pro

Snap-share proxy
Overall
10.5%
Passing plays
23.8%
Rushing plays
1.1%
Standard downs
9.7%
Passing downs
12.5%
EPA by down type
Standard downs
0.81
Passing downs
0.80
Pass / Rush EPA
0.89 / -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.