Skip to content
Michael Fitzgerald
Michael Fitzgerald

#11Michael Fitzgerald

Michael Fitzgerald is a Red Zone Weapon WR for Wyoming. Michael's 2025 season produced 14.2 total EPA across 34 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 Michael Fitzgerald'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
16 Receptions228 Rec yards3 Rec TD14.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness48
  • Consistency64
  • 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 consistency64th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.85 EPA/play decline from first to second half.
  • Peak game: 2.65 EPA/play in Wk 9 vs Colorado State (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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9
Cade HarrisAir Force0.3300.514.8

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

Game Log · box score + EPA, week by week

+2.6502.65Wk 6 vs UNLV: +0.38 EPA/play6Wk 7 vs San José State: +0.31 EPA/play7Wk 8 vs Air Force: +1.07 EPA/play8Wk 9 vs Colorado State: +2.65 EPA/play9Wk 10 vs San Diego State: +0.52 EPA/play10Wk 12 vs Fresno State: -0.13 EPA/play12Wk 13 vs Nevada: +0.53 EPA/play13Wk 14 vs Hawai'i: +0.07 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
6vsUNLVL17-314.311515.00150.38
7vsSan José StateW35-28-14.313535.01350.31
8@Air ForceL21-24-3.23289.31131.07
9vsColorado StateW28-0-15.612222.01222.65
10@San Diego StateL7-246.734615.30230.52
12@Fresno StateL3-241.8144.004-0.13
13vsNevadaL7-13-13.445313.30200.53
14@Hawai'iL7-271.722512.50130.07

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
8.6%
Rushing plays
0.3%
Standard downs
3.3%
Passing downs
6.8%
EPA by down type
Standard downs
0.76
Passing downs
0.11
Pass / Rush EPA
0.47 / -1.38

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.