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Marquis Johnson

#2Marquis Johnson

Marquis Johnson is a Slot Specialist WR for Missouri. Marquis's 2025 season produced 11.1 total EPA across 42 plays.

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 Marquis 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
28 Receptions345 Rec yards2 Rec TD12.3 Yards/rec
Returns
3 Kick returns71 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness35
  • Consistency49
  • Pass-Down0
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 consistency49th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.74 EPA/play decline from first to second half.
  • Peak game: 1.69 EPA/play in Wk 5 vs Massachusetts (SP+ -37).

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
Tyler BuchnerNotre Dame0.2500.312.8
Samajie GrantArizona0.2500.315.5
Justin LynchTemple0.2400.315.1
Nick NashSan José State0.3100.514.0
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

+1.6901.69Wk 1 vs Central Arkansas: +1.29 EPA/play1Wk 2 vs Kansas: -0.64 EPA/play2Wk 3 vs Louisiana: +1.06 EPA/play3Wk 4 vs South Carolina: +0.71 EPA/play4Wk 5 vs Massachusetts: +1.69 EPA/play5Wk 7 vs Alabama: +0.04 EPA/play7Wk 8 vs Auburn: -0.14 EPA/play8Wk 9 vs Vanderbilt: -0.30 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCentral ArkansasW61-6513426.81491.29
2vsKansasW42-314.122110.5013-0.64
3vsLouisianaW52-10-10.12189.01111.06
4vsSouth CarolinaW29-205.978011.40180.71
5vsMassachusettsW42-6-36.622211.00171.69
7vsAlabamaL24-2714.83268.70140.04
8@AuburnW23-1711.64266.5019-0.14
9@VanderbiltL10-1720.33186.0012-0.30
14@ArkansasW31-175.1

Usage & Situational · Pro

Snap-share proxy
Overall
6.5%
Passing plays
14.3%
Rushing plays
0.0%
Standard downs
5.6%
Passing downs
8.9%
EPA by down type
Standard downs
0.48
Passing downs
-0.05
Pass / Rush EPA
0.26 / —

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.