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Chris Marshall

#6Chris Marshall

Chris Marshall is a Vertical Threat WR for Boise State. Chris's 2025 season produced 20.1 total EPA across 45 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 Chris Marshall'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
30 Receptions574 Rec yards2 Rec TD19.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume23
  • Explosiveness81
  • Consistency68
  • Pass-Down46
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency68th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 1.93 EPA/play in Wk 8 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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+1.9301.93Wk 1 vs South Florida: +0.44 EPA/play1Wk 2 vs Eastern Washington: +1.65 EPA/play2Wk 4 vs Air Force: +0.52 EPA/play4Wk 5 vs App State: -0.02 EPA/play5Wk 6 vs Notre Dame: +0.33 EPA/play6Wk 7 vs New Mexico: +0.48 EPA/play7Wk 8 vs UNLV: +1.93 EPA/play8Wk 9 vs Nevada: +0.09 EPA/play9Wk 15 vs UNLV: +0.15 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@South FloridaL7-3411.62199.51130.44
2vsEastern WashingtonW51-14413233.00461.65
4@Air ForceW49-37-3.211313.00130.52
5vsApp StateW47-14-11.435217.3026-0.02
6@Notre DameL7-2824.445814.50280.33
7vsNew MexicoW41-250.957014.00230.48
8vsUNLVW56-314.339632.01451.93
9@NevadaW24-3-13.422713.50160.09
15vsUNLVW38-214.311010.00100.15
20vsWashingtonL10-3818.459719.4028

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
16.3%
Rushing plays
0.0%
Standard downs
4.9%
Passing downs
13.6%
EPA by down type
Standard downs
0.46
Passing downs
0.44
Pass / Rush EPA
0.45 / —

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.
Chris Marshall Stats, EPA & Player Profile — Boise State · Gridpex