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Tyson Thompson

#11Tyson Thompson

WR·Rice·2025

Tyson Thompson is a Red Zone Weapon WR for Rice.

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 Tyson Thompson'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
8 Receptions105 Rec yards2 Rec TD13.1 Yards/rec
Returns
4 Kick returns83 KR yards0 KR TD7 Punt returns36 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume7
  • Explosiveness41
  • Consistency60
  • Pass-Down0
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency60th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Strong second-half surge — EPA/play improved 0.89 from the first to second half of the season.
  • Peak game: 2.66 EPA/play in Wk 11 vs UAB (SP+ -16).

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 · 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
Keytaon ThompsonVirginia0.3200.412.5
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Cade HarrisAir Force0.3300.514.8
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+2.6602.66Wk 1 vs Louisiana: +0.13 EPA/play1Wk 2 vs Houston: +0.28 EPA/play2Wk 3 vs Prairie View A&M: +0.38 EPA/play3Wk 4 vs Charlotte: +1.78 EPA/play4Wk 5 vs Navy: -0.13 EPA/play5Wk 9 vs UConn: +0.09 EPA/play9Wk 11 vs UAB: +2.66 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@LouisianaW14-12-10.1144.0040.13
2vsHoustonL9-357.4133.0030.28
3vsPrairie View A&MW38-1712222.01220.38
4@CharlotteW28-17-26.713737.00371.78
5@NavyL13-216.2-0.13
6vsFlorida AtlanticL21-27-8.7
9vsUConnW37-345.1166.0060.09
10vsMemphisL14-387.6
11vsUABW24-17-15.833311.01232.66
20vsTexas StateL10-412.3

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
5.6%
Rushing plays
1.4%
Standard downs
2.3%
Passing downs
3.0%
EPA by down type
Standard downs
0.53
Passing downs
0.10
Pass / Rush EPA
0.80 / -0.30

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.