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Peter Leblanc
Peter Leblanc

#29Peter Leblanc

WR·Louisiana·2023

Peter Leblanc is a Versatile WR for Louisiana. Peter's 2023 season produced 40.0 total EPA across 40 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 Peter Leblanc'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.

2023 Production

Receiving
30 Receptions468 Rec yards4 Rec TD15.6 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness57
  • Consistency81
  • 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)100th %ile · elite
Game-to-game consistency81th %ile · above avg
Key findings
  • ▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • ▸Limited usage share suggests a rotational or specialist role.
  • ▸High game-to-game consistency — reliable floor each week.
  • ▸9 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 0.29 from the first to second half of the season.
  • ▸Peak game: 2.89 EPA/play in Wk 1 vs Northwestern State.

NIL Market Tier· 2023

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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.

Game Log · box score + EPA, week by week

+2.890−2.89Wk 1 vs Northwestern State: +2.89 EPA/play1Wk 2 vs Old Dominion: +0.51 EPA/play2Wk 3 vs UAB: +0.28 EPA/play3Wk 4 vs Buffalo: +0.45 EPA/play4Wk 5 vs Minnesota: +1.66 EPA/play5Wk 6 vs Texas State: +1.36 EPA/play6Wk 9 vs South Alabama: +2.18 EPA/play9Wk 10 vs Arkansas State: +1.60 EPA/play10Wk 11 vs Southern Miss: +0.24 EPA/play11Wk 12 vs Troy: +2.09 EPA/play12Wk 13 vs UL Monroe: +1.31 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorthwestern StateW38-13—25829.01502.89
2@Old DominionL31-38-10.14266.50100.51
3@UABW41-21-14.723618.00190.28
4vsBuffaloW45-38-15.22168.0090.45
5@MinnesotaL24-350.44399.81161.66
6vsTexas StateW34-30-1.613434.01341.36
9@South AlabamaW33-205.123718.50222.18
10@Arkansas StateL17-37-6.3612921.51871.60
11vsSouthern MissL31-34-14.43248.00140.24
12@TroyL24-319.822814.00142.09
13vsUL MonroeW52-21-21.612222.00221.31
20vsJacksonville StateL31-34-1.611919.0019—

Usage & Situational · Pro

Snap-share proxy
Overall
5.3%
Passing plays
11.7%
Rushing plays
0.0%
Standard downs
5.2%
Passing downs
5.4%
EPA by down type
Standard downs
0.75
Passing downs
1.57
Pass / Rush EPA
1.00 / —

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.