Skip to content
Keagan Johnson

#6Keagan Johnson

Keagan Johnson is a Slot Specialist WR for New Mexico. Keagan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 99 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 Keagan 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
59 Receptions754 Rec yards3 Rec TD12.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume37
  • Explosiveness39
  • Consistency62
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency62th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.19 from the first to second half of the season.
  • Peak game: 1.24 EPA/play in Wk 10 vs UNLV (SP+ 4).

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
Malik DunnerBall State0.2900.422.0
Jafar ArmstrongNotre Dame0.3201.025.3

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

Game Log · box score + EPA, week by week

+1.2401.24Wk 1 vs Michigan: +0.10 EPA/play1Wk 2 vs Idaho State: +0.14 EPA/play2Wk 5 vs New Mexico State: +1.05 EPA/play5Wk 6 vs San José State: +0.61 EPA/play6Wk 7 vs Boise State: -0.13 EPA/play7Wk 8 vs Nevada: -0.19 EPA/play8Wk 9 vs Utah State: +0.03 EPA/play9Wk 10 vs UNLV: +1.24 EPA/play10Wk 12 vs Colorado State: +0.46 EPA/play12Wk 13 vs Air Force: +0.18 EPA/play13Wk 14 vs San Diego State: +0.35 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@MichiganL17-3412.47385.40140.10
2vsIdaho StateW32-22188.0080.14
5vsNew Mexico StateW38-20-15.5511723.41481.05
6@San José StateL28-35-14.31114513.20240.61
7@Boise StateL25-413.15387.6121-0.13
8vsNevadaW24-22-13.45265.2010-0.19
9vsUtah StateW33-14-3.13258.30160.03
10@UNLVW40-354.3615826.31801.24
12vsColorado StateW20-17-15.656513.00250.46
13@Air ForceW20-3-3.245513.80200.18
14vsSan Diego StateW23-176.733712.30170.35
20vsMinnesotaL17-201.544210.5016

Usage & Situational · Pro

Snap-share proxy
Overall
13.1%
Passing plays
27.1%
Rushing plays
0.5%
Standard downs
10.3%
Passing downs
19.2%
EPA by down type
Standard downs
0.16
Passing downs
0.62
Pass / Rush EPA
0.39 / 0.00

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.