Skip to content
Taylor Lamb

#11Taylor Lamb

QB·App State·20158.9 pts line valueDay 2 (Rds 2–3)

Taylor Lamb is a Dual-Threat QB for App State. Taylor's 2015 season ranks in the 80th percentile nationally by opponent-adjusted EPA per play across 340 plays — a above-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 Taylor Lamb'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.

2015 Production

Passing
170/283 Comp/Att2387 Pass yards31 Pass TD9 INT60.1% Comp %
Rushing
436 Rush yards5 Rush TD85 Carries5.1 Yards/carry
Punting
1 Punts23 Punt yards23.0 Yards/punt23 Long0 Inside 20

Performance Analysis · 2015 · vs QB peers

  • Efficiency80
  • Volume100
  • Dual-Threat84
  • Consistency81
  • Clutch80
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)80th %ile · above avg
Game-to-game consistency81th %ile · above avg
Key findings
  • Above-average efficiency for the QB position (80th percentile).
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 7 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 — 0.16 EPA/play decline from first to second half.
  • Peak game: 0.97 EPA/play in Wk 7 vs UL Monroe (SP+ -15).

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

+0.9700.97Wk 1 vs Howard: +0.71 EPA/play1Wk 2 vs Clemson: -0.15 EPA/play2Wk 4 vs Old Dominion: +0.71 EPA/play4Wk 5 vs Wyoming: +0.11 EPA/play5Wk 6 vs Georgia State: +0.82 EPA/play6Wk 7 vs UL Monroe: +0.97 EPA/play7Wk 8 vs Georgia Southern: +0.68 EPA/play8Wk 9 vs Troy: +0.33 EPA/play9Wk 10 vs Arkansas State: +0.49 EPA/play10Wk 11 vs Idaho: +0.46 EPA/play11Wk 13 vs Louisiana: +0.40 EPA/play13Wk 14 vs South Alabama: +0.20 EPA/play14Wk 1 vs Ohio: +0.32 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsHowardW49-016/212093095.14100.71
2@ClemsonL10-4124.09/2895131.480-0.15
4@Old DominionW49-0-14.811/151874096.2900.71
5vsWyomingW31-13-16.73/12651132.52010.11
6@Georgia StateW37-3-6.721/273143195.35300.82
7@UL MonroeW59-14-14.78/152613099.710310.97
8vsGeorgia SouthernW31-137.314/202022086.52100.68
9vsTroyW44-41-7.016/261842144.02820.33
10vsArkansas StateL27-400.522/353214157.3700.49
11@IdahoW47-20-12.28/15903078.54100.46
13vsLouisianaW28-7-7.114/211721065.03600.40
14@South AlabamaW34-27-10.415/221632171.11800.20
1vsOhioW31-29-0.513/261242169.95110.32

Usage & Situational · Pro

Snap-share proxy
Overall
39.7%
Passing plays
94.7%
Rushing plays
13.0%
Standard downs
34.0%
Passing downs
53.6%
EPA by down type
Standard downs
0.39
Passing downs
0.59
Pass / Rush EPA
0.50 / 0.32

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.090−0.26
EPA per play · 2015 · 13 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.