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Dane Evans

#9Dane Evans

QB·Tulsa·201620158.6 pts line valueDay 2 (Rds 2–3)

Dane Evans is a 2-year Dual-Threat QB for Tulsa. Dane's 2015 season ranks in the 20th percentile nationally by opponent-adjusted EPA per play across 563 plays — a developing 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 Dane Evans'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
305/485 Comp/Att4332 Pass yards25 Pass TD8 INT62.9% Comp %
Rushing
-9 Rush yards2 Rush TD96 Carries-0.1 Yards/carry
Punting
1 Punts49 Punt yards49.0 Yards/punt49 Long0 Inside 20

Performance Analysis · 2015 · vs QB peers

  • Efficiency20
  • Volume100
  • Dual-Threat58
  • Consistency81
  • Clutch87
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)20th %ile · below avg
Game-to-game consistency81th %ile · above avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • 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.
  • Peak game: 0.73 EPA/play in Wk 13 vs Tulane (SP+ -14).

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
Jordan TravisFlorida State0.47610.1328.3
Kyle McCordSyracuse0.50912.1321.4
Sam HartmanWake Forest0.55611.8359.6
Trace McSorleyPenn State0.51312.7321.0
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

+0.7300.73Wk 1 vs Florida Atlantic: +0.56 EPA/play1Wk 2 vs New Mexico: +0.56 EPA/play2Wk 3 vs Oklahoma: +0.54 EPA/play3Wk 5 vs Houston: +0.11 EPA/play5Wk 6 vs UL Monroe: +0.36 EPA/play6Wk 7 vs East Carolina: -0.16 EPA/play7Wk 8 vs Memphis: +0.30 EPA/play8Wk 9 vs SMU: +0.37 EPA/play9Wk 10 vs UCF: +0.26 EPA/play10Wk 11 vs Cincinnati: +0.27 EPA/play11Wk 12 vs Navy: +0.23 EPA/play12Wk 13 vs Tulane: +0.73 EPA/play13Wk 1 vs Virginia Tech: +0.48 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsFlorida AtlanticW47-44-9.821/334242279.8-810.56
2@New MexicoW40-21-8.716/303212076.8-1300.56
3@OklahomaL38-5222.734/514274083.2200.54
5vsHoustonL24-386.226/443260152.01000.11
6vsUL MonroeW34-24-14.728/443412063.4600.36
7@East CarolinaL17-30-0.519/40288118.6-40-0.16
8vsMemphisL42-668.024/364214163.4-1000.30
9@SMUW40-31-17.519/272400073.81100.37
10vsUCFW45-30-15.510/181502261.21200.26
11@CincinnatiL38-495.330/493752057.1-500.27
12vsNavyL21-4412.132/372780061.5-1900.23
13@TulaneW45-34-14.019/323673193.4-900.73
1vsVirginia TechL52-5511.427/443743070.01810.48

Usage & Situational · Pro

Snap-share proxy
Overall
52.8%
Passing plays
98.5%
Rushing plays
10.9%
Standard downs
43.4%
Passing downs
72.7%
EPA by down type
Standard downs
0.23
Passing downs
0.47
Pass / Rush EPA
0.35 / 0.19

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.120−0.482016
EPA per play · 2015 — 2016 · 26 games
SeasonTeamLine valueTotal EPA
2015Tulsa
8.6
260.1
2016Tulsa
7.9
210.7

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.