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Jesse Watson

#10Jesse Watson

Jesse Watson is a Red Zone Weapon WR for Purdue.

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 Jesse Watson'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 Receptions80 Rec yards2 Rec TD10.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency17
  • Volume13
  • Explosiveness20
  • Consistency51
  • Pass-Down68
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)17th %ile · below avg
Game-to-game consistency51th %ile · average
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.88 EPA/play decline from first to second half.
  • Peak game: 1.52 EPA/play in Wk 3 vs USC (SP+ 17).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Amare JonesTulane0.2300.813.3
Eli HeidenreichNavy0.2200.815.4
Justin LynchTemple0.2400.315.1

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

Game Log · box score + EPA, week by week

+1.5201.52Wk 2 vs Southern Illinois: +0.73 EPA/play2Wk 3 vs USC: +1.52 EPA/play3Wk 4 vs Notre Dame: +0.36 EPA/play4Wk 8 vs Northwestern: -0.18 EPA/play8Wk 11 vs Ohio State: +0.77 EPA/play11Wk 14 vs Indiana: -0.63 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsSouthern IllinoisW34-17155.0050.73
3vsUSCL17-3316.912020.00201.52
4@Notre DameL30-5624.422814.01240.36
8@NorthwesternL0-195.82147.008-0.18
11vsOhio StateL10-3430.1177.0170.77
14vsIndianaL3-5632.4166.006-0.63

Usage & Situational · Pro

Snap-share proxy
Overall
4.6%
Passing plays
8.3%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
6.7%
EPA by down type
Standard downs
0.02
Passing downs
0.13
Pass / Rush EPA
0.07 / —

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.