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Tyler Lavine

#31Tyler Lavine

RB·SMU·20222.2 pts line valueDay 3 (Rds 4–7)

Tyler Lavine is a Explosive Back for SMU. Tyler's 2022 season ranks in the 38th percentile nationally by opponent-adjusted EPA per play across 149 plays — a developing rate for the RB.

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 Tyler Lavine'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.

2022 Production

Rushing
642 Rush yards10 Rush TD142 Carries4.5 Yards/carry
Receiving
16 Receptions122 Rec yards0 Rec TD7.6 Yards/rec
Returns
1 Kick returns9 KR yards0 KR TD

Performance Analysis · 2022 · vs RB peers

  • Efficiency38
  • Volume54
  • Explosiveness30
  • Consistency59
  • Receiving39
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)38th %ile · below avg
Game-to-game consistency59th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.35 EPA/play decline from first to second half.
  • Peak game: 2.23 EPA/play in Wk 1 vs North Texas (SP+ -2).

NIL Market Tier· 2022

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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.

Historical Comparables · RB · 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
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.3403.997.9
Saquon BarkleyPenn State0.4105.298.4
Clyde Edwards-HelaireLSU0.4905.0105.8
James FlandersTulsa0.3904.9103.7

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

Game Log · box score + EPA, week by week

+2.2302.23Wk 1 vs North Texas: +2.23 EPA/play1Wk 2 vs Lamar: -0.02 EPA/play2Wk 3 vs Maryland: -0.20 EPA/play3Wk 7 vs Navy: +0.17 EPA/play7Wk 8 vs Cincinnati: +0.98 EPA/play8Wk 9 vs Tulsa: +0.46 EPA/play9Wk 10 vs Houston: +0.23 EPA/play10Wk 11 vs South Florida: +0.52 EPA/play11Wk 12 vs Tulane: +0.23 EPA/play12Wk 13 vs Memphis: +0.20 EPA/play13Wk 1 vs BYU: +0.22 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@North TexasW48-10-1.5155.012.23
2vsLamarW45-16294.50-0.02
3@MarylandL27-3411.2122.00-0.20
7vsNavyW40-34-7.26284.700.17
8vsCincinnatiL27-2913.17314.410.98
9@TulsaW45-34-6.117724.230.46
10vsHoustonW77-634.5251465.8121200.23
11@South FloridaW41-23-17.0171126.610.52
12@TulaneL24-5912.418824.6076200.23
13vsMemphisW34-316.825642.6232300.20
1vsBYUL23-24-1.423914.0142500.22

Usage & Situational · Pro

Snap-share proxy
Overall
19.0%
Passing plays
4.1%
Rushing plays
34.4%
Standard downs
22.6%
Passing downs
10.5%
EPA by down type
Standard downs
0.28
Passing downs
0.45
Pass / Rush EPA
0.56 / 0.28

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+2.470−0.45
EPA per play · 2022 · 11 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.