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Chris Barnes

#2Chris Barnes

Chris Barnes is a Versatile WR for Wake Forest. Chris's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 68 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 Chris Barnes'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

Rushing
143 Rush yards0 Rush TD13 Carries11.0 Yards/carry
Receiving
39 Receptions547 Rec yards3 Rec TD14.0 Yards/rec
Returns
7 Kick returns263 KR yards1 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume27
  • Explosiveness47
  • Consistency55
  • Pass-Down0
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)100th %ile · elite
Game-to-game consistency55th %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.
  • Production faded as the season progressed — 0.16 EPA/play decline from first to second half.
  • Peak game: 1.79 EPA/play in Wk 7 vs Oregon State (SP+ -16).

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
Eli HeidenreichNavy0.3400.722.4
Ainias SmithTexas A&M0.3100.517.0
Noah ShortArmy0.3000.520.7
Cade HarrisAir Force0.3300.514.8
Chris TyreeNotre Dame0.3100.623.6

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

Game Log · box score + EPA, week by week

+1.7901.79Wk 1 vs Kennesaw State: +0.34 EPA/play1Wk 2 vs Western Carolina: +1.00 EPA/play2Wk 3 vs NC State: +0.72 EPA/play3Wk 5 vs Georgia Tech: -0.30 EPA/play5Wk 6 vs Virginia Tech: +0.02 EPA/play6Wk 7 vs Oregon State: +1.79 EPA/play7Wk 9 vs SMU: +0.33 EPA/play9Wk 10 vs Florida State: +0.10 EPA/play10Wk 11 vs Virginia: -0.63 EPA/play11Wk 13 vs Delaware: +0.72 EPA/play13Wk 14 vs Duke: +0.49 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsKennesaw StateW10-9-5.43237.70150.34
2vsWestern CarolinaW42-10614924.80641.00
3vsNC StateL24-344.837625.30700.72
5vsGeorgia TechL29-309.333913.0035-0.30
6@Virginia TechW30-23-10.15214.20100.02
7@Oregon StateW39-14-15.9310234.03551.79
9vsSMUW13-1213.456613.20320.33
10@Florida StateL7-427.24164.0070.10
11@VirginiaW16-911.12126.009-0.63
13vsDelawareW52-14-10.93196.30120.72
14@DukeL32-496.622412.00190.49

Usage & Situational · Pro

Snap-share proxy
Overall
9.3%
Passing plays
15.6%
Rushing plays
3.6%
Standard downs
9.7%
Passing downs
8.6%
EPA by down type
Standard downs
0.53
Passing downs
-0.05
Pass / Rush EPA
0.31 / 0.51

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.