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Tyson Davis

#22Tyson Davis

Tyson Davis is a Slot Specialist WR for Central Michigan. Tyson's 2025 season produced 22.2 total EPA across 32 plays.

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 Davis'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
25 Receptions323 Rec yards2 Rec TD12.9 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness39
  • Consistency60
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
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.
  • 5 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 0.28 from the first to second half of the season.
  • Peak game: 3.00 EPA/play in Wk 10 vs Western Michigan (SP+ -1).

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
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
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

+3.0003.00Wk 1 vs San José State: +0.22 EPA/play1Wk 2 vs Pittsburgh: +0.85 EPA/play2Wk 3 vs Michigan: -0.09 EPA/play3Wk 4 vs Wagner: +2.13 EPA/play4Wk 5 vs Eastern Michigan: +0.17 EPA/play5Wk 6 vs Akron: +0.94 EPA/play6Wk 8 vs Bowling Green: -0.95 EPA/play8Wk 10 vs Western Michigan: +3.00 EPA/play10Wk 12 vs Buffalo: +0.34 EPA/play12Wk 13 vs Kent State: +0.35 EPA/play13Wk 14 vs Toledo: +2.17 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@San José StateW16-14-14.3166.0060.22
2@PittsburghL17-458.422512.50130.85
3@MichiganL3-6312.4351.704-0.09
4vsWagnerW49-1024120.51332.13
5vsEastern MichiganW24-13-14.7188.0080.17
6@AkronL22-28-13.935117.00280.94
8@Bowling GreenW27-6-12.6-0.95
10@Western MichiganL21-24-1.424522.51333.00
12vsBuffaloW38-19-7.52157.50110.34
13@Kent StateW28-16-19.322110.50150.35
14vsToledoL3-216.025326.50362.17
20vsNorthwesternL7-345.855310.6013

Usage & Situational · Pro

Snap-share proxy
Overall
4.7%
Passing plays
12.5%
Rushing plays
0.6%
Standard downs
3.2%
Passing downs
7.9%
EPA by down type
Standard downs
0.35
Passing downs
1.00
Pass / Rush EPA
0.78 / -0.18

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.