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Connor Lair

#40Connor Lair

Connor Lair is a Pass-Catching Back for Missouri State.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Connor Lair'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
9 Rush yards0 Rush TD6 Carries1.5 Yards/carry
Receiving
6 Receptions62 Rec yards1 Rec TD10.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency100
  • Volume7
  • Explosiveness0
  • Consistency66
  • Receiving100
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency66th %ile · average
Key findings
  • Top-10% efficiency among RBs — 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 — 0.98 EPA/play decline from first to second half.
  • Peak game: 2.79 EPA/play in Wk 4 vs UT Martin.

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.

Game Log · box score + EPA, week by week

+2.7902.79Wk 1 vs USC: -0.02 EPA/play1Wk 2 vs Marshall: +2.12 EPA/play2Wk 4 vs UT Martin: +2.79 EPA/play4Wk 10 vs Florida International: -0.26 EPA/play10Wk 12 vs UTEP: +0.79 EPA/play12Wk 14 vs Louisiana Tech: +0.51 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@USCL13-7316.91-4-4.001-30-0.02
2@MarshallW21-20-4.5122.0011602.12
4vsUT MartinW42-101112.79
10vsFlorida InternationalW28-21-10.54112.80-0.26
12vsUTEPW38-24-17.511900.79
13@Kennesaw StateL34-41-5.4
14vsLouisiana TechL30-42-1.322900.51

Usage & Situational · Pro

Snap-share proxy
Overall
2.4%
Passing plays
3.0%
Rushing plays
1.9%
Standard downs
3.5%
Passing downs
0.6%
EPA by down type
Standard downs
0.44
Passing downs
Pass / Rush EPA
0.90 / -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.