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Dominic Overby

#11Dominic Overby

Dominic Overby is a Red Zone Weapon WR for Iowa State.

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 Dominic Overby'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
7 Receptions87 Rec yards2 Rec TD12.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency50
  • Volume11
  • Explosiveness36
  • Consistency68
  • 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)50th %ile · average
Game-to-game consistency68th %ile · average
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 1.31 EPA/play in Wk 3 vs Arkansas State (SP+ -9).

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
Tyler BuchnerNotre Dame0.2500.312.8
Amare JonesTulane0.2300.813.3
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

+1.3101.31Wk 2 vs Iowa: -0.20 EPA/play2Wk 3 vs Arkansas State: +1.31 EPA/play3Wk 6 vs Cincinnati: +0.62 EPA/play6
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsKansas StateW24-217.022914.5123
2vsIowaW16-1319.7199.009-0.20
3@Arkansas StateW24-16-8.812727.01271.31
6@CincinnatiL30-384.53227.30110.62

Usage & Situational · Pro

Snap-share proxy
Overall
3.8%
Passing plays
8.9%
Rushing plays
0.0%
Standard downs
3.4%
Passing downs
4.5%
EPA by down type
Standard downs
0.38
Passing downs
-0.30
Pass / Rush EPA
0.12 / —

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.