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Ryan Willis

#5Ryan Willis

QB·Virginia Tech·20187.8 pts line valueDay 3 (Rds 4–7)

Ryan Willis is a Dual-Threat QB for Virginia Tech. Ryan's 2018 season ranks in the 40th percentile nationally by opponent-adjusted EPA per play across 446 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 Ryan Willis'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
213/364 Comp/Att2716 Pass yards24 Pass TD9 INT58.5% Comp %
Rushing
354 Rush yards4 Rush TD113 Carries3.1 Yards/carry

Performance Analysis · 2018 · vs QB peers

  • Efficiency40
  • Volume100
  • Dual-Threat100
  • Consistency81
  • Clutch88
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)40th %ile · below avg
Game-to-game consistency81th %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.
  • 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 — 0.21 EPA/play decline from first to second half.
  • Peak game: 0.83 EPA/play in Wk 5 vs Duke (SP+ 5).

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

+0.8300.83Wk 2 vs William & Mary: +0.51 EPA/play2Wk 4 vs Old Dominion: +0.27 EPA/play4Wk 5 vs Duke: +0.83 EPA/play5Wk 6 vs Notre Dame: +0.22 EPA/play6Wk 7 vs North Carolina: +0.30 EPA/play7Wk 9 vs Georgia Tech: +0.48 EPA/play9Wk 10 vs Boston College: +0.34 EPA/play10Wk 11 vs Pittsburgh: +0.26 EPA/play11Wk 12 vs Miami: +0.01 EPA/play12Wk 13 vs Virginia: +0.11 EPA/play13Wk 14 vs Marshall: +0.48 EPA/play14Wk 1 vs Cincinnati: +0.15 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTRush YdsRush TDEPA/play
2vsWilliam & MaryW62-174/76400710.51
4@Old DominionL35-49-14.19/18131103000.27
5@DukeW31-145.017/2733230500.83
6vsNotre DameL23-4520.731/52309211600.22
7@North CarolinaW22-19-2.520/36221228810.30
9vsGeorgia TechL28-490.315/22201202210.48
10vsBoston CollegeL21-312.425/42281314900.34
11@PittsburghL22-522.722/34231306500.26
12vsMiamiL14-3812.718/36216121300.01
13vsVirginiaW34-317.114/33199124100.11
14vsMarshallW41-201.018/2631240-1500.48
1vsCincinnatiL31-355.420/31219213310.15

Usage & Situational · Pro

Snap-share proxy
Overall
53.3%
Passing plays
90.3%
Rushing plays
20.0%
Standard downs
46.2%
Passing downs
67.7%
EPA by down type
Standard downs
0.22
Passing downs
0.46
Pass / Rush EPA
0.29 / 0.42

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.910−0.07
EPA per play · 2018 · 12 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.