Skip to content
Michael Jackson III
Michael Jackson III

#2Michael Jackson III

Michael Jackson III is a Versatile WR for Purdue. Michael's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 75 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 Michael Jackson III'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
63 Receptions570 Rec yards1 Rec TD9.0 Yards/rec
Returns
22 Kick returns520 KR yards0 KR TD8 Punt returns26 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume30
  • Explosiveness14
  • Consistency50
  • Pass-Down100
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 consistency50th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.23 EPA/play decline from first to second half.
  • Peak game: 1.04 EPA/play in Wk 4 vs Notre Dame (SP+ 24).

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
Zach AbeyNavy0.3700.825.9
Eli HeidenreichNavy0.3400.722.4
Chris TyreeNotre Dame0.3100.623.6
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2

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

Game Log · box score + EPA, week by week

+1.0401.04Wk 1 vs Ball State: +0.84 EPA/play1Wk 2 vs Southern Illinois: -0.25 EPA/play2Wk 3 vs USC: +0.42 EPA/play3Wk 4 vs Notre Dame: +1.04 EPA/play4Wk 6 vs Illinois: +0.43 EPA/play6Wk 7 vs Minnesota: -0.05 EPA/play7Wk 8 vs Northwestern: -0.02 EPA/play8Wk 9 vs Rutgers: -0.66 EPA/play9Wk 10 vs Michigan: +0.89 EPA/play10Wk 11 vs Ohio State: +0.45 EPA/play11Wk 12 vs Washington: +0.01 EPA/play12Wk 14 vs Indiana: +0.38 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsBall StateW31-0-23.067212.01180.84
2vsSouthern IllinoisW34-17177.007-0.25
3vsUSCL17-3316.977010.00310.42
4@Notre DameL30-5624.446215.50201.04
6vsIllinoisL27-4312.914946.70130.43
7@MinnesotaL20-271.544912.3015-0.05
8@NorthwesternL0-195.85367.2013-0.02
9vsRutgersL24-271.0382.707-0.66
10@MichiganL16-2112.46589.70190.89
11vsOhio StateL10-3430.13155.0090.45
12@WashingtonL13-4918.44338.30260.01
14vsIndianaL3-5632.466611.00210.38

Usage & Situational · Pro

Snap-share proxy
Overall
10.4%
Passing plays
19.3%
Rushing plays
0.6%
Standard downs
9.2%
Passing downs
12.9%
EPA by down type
Standard downs
0.18
Passing downs
0.65
Pass / Rush EPA
0.40 / -0.56

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.