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Kezion Dia-Johnson
Kezion Dia-Johnson

#8Kezion Dia-Johnson

Kezion Dia-Johnson is a Versatile WR for Massachusetts.

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 Kezion Dia-Johnson'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
6 Receptions73 Rec yards1 Rec TD12.2 Yards/rec
Returns
2 Kick returns24 KR yards0 KR TD1 Punt returns27 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume12
  • Explosiveness34
  • Consistency0
  • 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)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
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.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.39 from the first to second half of the season.
  • Peak game: 1.57 EPA/play in Wk 8 vs Buffalo (SP+ -8).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
De'Michael HarrisSouthern Miss0.1300.715.2
Amare JonesTulane0.1800.012.8
Hyleck FosterMarshall0.1800.518.2
Davis BrysonKennesaw State0.2000.019.4
Brandon ChatmanNavy0.2300.612.0

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

Game Log · box score + EPA, week by week

+1.5701.57Wk 1 vs Temple: -0.30 EPA/play1Wk 6 vs Western Michigan: -0.69 EPA/play6Wk 7 vs Kent State: -0.57 EPA/play7Wk 8 vs Buffalo: +1.57 EPA/play8Wk 9 vs Central Michigan: -0.29 EPA/play9Wk 11 vs Akron: -1.16 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTempleL10-42-5.1-0.30
2vsBryantL26-27
3@IowaL7-4719.7
6vsWestern MichiganL3-21-1.4-0.69
7@Kent StateL6-42-19.3252.506-0.57
8vsBuffaloL21-28-7.512727.01271.57
9@Central MichiganL13-38-8.834113.7015-0.29
11@AkronL10-44-13.9-1.16

Usage & Situational · Pro

Snap-share proxy
Overall
4.3%
Passing plays
7.4%
Rushing plays
0.0%
Standard downs
3.4%
Passing downs
5.7%
EPA by down type
Standard downs
-0.50
Passing downs
0.08
Pass / Rush EPA
-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.