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Manny Wilkins

#5Manny Wilkins

QB·Arizona State·201820175.4 pts line valueDay 3 (Rds 4–7)

Manny Wilkins is a 2-year Dual-Threat QB for Arizona State. Manny's 2017 season ranks in the 8th percentile nationally by opponent-adjusted EPA per play across 535 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 Manny Wilkins'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.

2017 Production

Passing
260/410 Comp/Att3270 Pass yards20 Pass TD8 INT63.4% Comp %
Rushing
282 Rush yards7 Rush TD138 Carries2.0 Yards/carry
Punting
2 Punts52 Punt yards26.0 Yards/punt36 Long0 Inside 20

Performance Analysis · 2017 · vs QB peers

  • Efficiency8
  • Volume100
  • Dual-Threat80
  • Consistency82
  • 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)8th %ile · below avg
Game-to-game consistency82th %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.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.52 EPA/play in Wk 12 vs Oregon State (SP+ -13).

Game Log · box score + EPA, week by week

+0.5200.52Wk 1 vs New Mexico State: +0.29 EPA/play1Wk 2 vs San Diego State: +0.21 EPA/play2Wk 3 vs Texas Tech: +0.47 EPA/play3Wk 4 vs Oregon: +0.47 EPA/play4Wk 5 vs Stanford: +0.04 EPA/play5Wk 7 vs Washington: +0.18 EPA/play7Wk 8 vs Utah: +0.08 EPA/play8Wk 9 vs USC: +0.11 EPA/play9Wk 10 vs Colorado: +0.29 EPA/play10Wk 11 vs UCLA: +0.11 EPA/play11Wk 12 vs Oregon State: +0.52 EPA/play12Wk 13 vs Arizona: +0.47 EPA/play13Wk 1 vs NC State: +0.27 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsNew Mexico StateW37-31-9.422/273002076.2600.29
2vsSan Diego StateL20-304.520/332982033.4-1500.21
3@Texas TechL45-524.827/413263084.12500.47
4vsOregonW37-359.124/393471069.33520.47
5@StanfordL24-3415.815/241810218.6-1100.04
7vsWashingtonW13-722.129/412450064.8200.18
8@UtahW30-1012.019/291400157.81810.08
9vsUSCL17-4817.917/292591026.5-910.11
10vsColoradoW41-302.018/342022064.29510.29
11@UCLAL37-444.921/372901152.13510.11
12@Oregon StateW40-24-12.612/191672089.96000.52
13vsArizonaW42-303.711/171633172.52800.47
1vsNC StateL31-5212.925/403523354.21310.27

Usage & Situational · Pro

Snap-share proxy
Overall
54.3%
Passing plays
97.8%
Rushing plays
19.1%
Standard downs
48.0%
Passing downs
68.3%
EPA by down type
Standard downs
0.16
Passing downs
0.47
Pass / Rush EPA
0.27 / 0.30

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.750−0.222018
EPA per play · 2017 — 2018 · 26 games
SeasonTeamLine valueTotal EPA
2017Arizona State
5.4
212.8
2018Arizona State
7.7
241.7

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.