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Shane Buechele

#7Shane Buechele

QB·SMU·202020198.4 pts line valueDay 2 (Rds 2–3)

Shane Buechele is a 2-year Dual-Threat QB for SMU. Shane's 2020 season ranks in the 53th percentile nationally by opponent-adjusted EPA per play across 398 plays — a average rate for the QB.

What projects, and what doesn't · QBs · 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)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Shane Buechele'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.

2020 Production

Passing
242/367 Comp/Att3095 Pass yards23 Pass TD6 INT65.9% Comp %
Rushing
106 Rush yards2 Rush TD58 Carries1.8 Yards/carry

Performance Analysis · 2020 · vs QB peers

  • Efficiency53
  • Volume100
  • Dual-Threat75
  • Consistency80
  • Clutch100
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)53th %ile · average
Game-to-game consistency80th %ile · above avg
Key findings
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 5 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 — 0.12 EPA/play decline from first to second half.
  • Peak game: 0.75 EPA/play in Wk 9 vs Navy (SP+ -9).

Historical Comparables · QB · 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
Stetson BennettGeorgia0.63512.5323.0

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

Game Log · box score + EPA, week by week

+0.7500.75Wk 1 vs Texas State: +0.31 EPA/play1Wk 3 vs North Texas: +0.62 EPA/play3Wk 4 vs Stephen F. Austin: +0.22 EPA/play4Wk 5 vs Memphis: +0.53 EPA/play5Wk 7 vs Tulane: +0.48 EPA/play7Wk 8 vs Cincinnati: -0.09 EPA/play8Wk 9 vs Navy: +0.75 EPA/play9Wk 10 vs Temple: +0.60 EPA/play10Wk 11 vs Tulsa: +0.11 EPA/play11Wk 13 vs East Carolina: +0.20 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTRush YdsRush TDEPA/play
1@Texas StateW31-24-13.426/3636712000.31
3@North TexasW65-35-8.024/33344402910.62
4vsStephen F. AustinW50-714/2314120-800.22
5vsMemphisW30-275.732/45474302700.53
7@TulaneW37-344.223/3738420-900.48
8vsCincinnatiL13-4218.623/4421611140-0.09
9vsNavyW51-37-9.323/28300301600.75
10@TempleW47-23-10.024/35355401900.60
11@TulsaL24-285.618/36200111800.11
13@East CarolinaL38-52-11.035/5031422010.20

Usage & Situational · Pro

Snap-share proxy
Overall
56.9%
Passing plays
98.5%
Rushing plays
11.5%
Standard downs
47.9%
Passing downs
75.8%
EPA by down type
Standard downs
0.19
Passing downs
0.59
Pass / Rush EPA
0.37 / 0.28

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.830−0.172020
EPA per play · 2019 — 2020 · 23 games
SeasonTeamLine valueTotal EPA
2019SMU
11.3
307.0
2020SMU
8.4
203.0

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.