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Taylor Cornelius
Taylor Cornelius

#14Taylor Cornelius

QB·Oklahoma State·20188.4 pts line valueDay 2 (Rds 2–3)

Taylor Cornelius is a Dual-Threat QB for Oklahoma State. Taylor's 2018 season ranks in the 30th percentile nationally by opponent-adjusted EPA per play across 601 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 Taylor Cornelius'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.

2018 Production

Passing
286/483 Comp/Att3950 Pass yards32 Pass TD13 INT59.2% Comp %
Rushing
401 Rush yards10 Rush TD122 Carries3.3 Yards/carry

Performance Analysis · 2018 · vs QB peers

  • Efficiency30
  • Volume100
  • Dual-Threat100
  • Consistency83
  • 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)30th %ile · below avg
Game-to-game consistency83th %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.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.85 EPA/play in Wk 5 vs Kansas (SP+ -10).

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
Sam HartmanWake Forest0.55611.8359.6
Kyle McCordSyracuse0.50912.1321.4
Trace McSorleyPenn State0.51312.7321.0
Casey ThompsonNebraska0.52812.6351.4

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

Game Log · box score + EPA, week by week

+0.8500.85Wk 1 vs Missouri State: +0.48 EPA/play1Wk 2 vs South Alabama: +0.31 EPA/play2Wk 3 vs Boise State: +0.45 EPA/play3Wk 4 vs Texas Tech: +0.18 EPA/play4Wk 5 vs Kansas: +0.85 EPA/play5Wk 6 vs Iowa State: +0.47 EPA/play6Wk 7 vs Kansas State: -0.01 EPA/play7Wk 9 vs Texas: +0.60 EPA/play9Wk 10 vs Baylor: +0.24 EPA/play10Wk 11 vs Oklahoma: +0.44 EPA/play11Wk 12 vs West Virginia: +0.54 EPA/play12Wk 13 vs TCU: +0.26 EPA/play13Wk 1 vs Missouri: +0.18 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTRush YdsRush TDEPA/play
1vsMissouri StateW58-1724/34295512700.48
2vsSouth AlabamaW55-13-17.725/4042812300.31
3vsBoise StateW44-2112.215/26243104120.45
4vsTexas TechL17-418.718/3825811000.18
5@KansasW48-28-10.015/20312411800.85
6vsIowa StateL42-487.919/33289414110.47
7@Kansas StateL12-31-0.517/3518402551-0.01
9vsTexasW38-3511.323/34321302320.60
10@BaylorL31-352.023/40264101910.24
11@OklahomaL47-4824.934/5350130-500.44
12vsWest VirginiaW45-4113.230/463385210610.54
13@TCUL24-316.917/40181015220.26
1vsMissouriW38-3320.826/44336422100.18

Usage & Situational · Pro

Snap-share proxy
Overall
59.4%
Passing plays
98.7%
Rushing plays
18.9%
Standard downs
55.1%
Passing downs
69.0%
EPA by down type
Standard downs
0.23
Passing downs
0.61
Pass / Rush EPA
0.34 / 0.51

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.940−0.10
EPA per play · 2018 · 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.