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Quinton Flowers

#9Quinton Flowers

QB·South Florida·2017201620156.1 pts line valueDay 3 (Rds 4–7)

Quinton Flowers is a 3-year Dual-Threat QB for South Florida. Quinton's 2015 season ranks in the 10th percentile nationally by opponent-adjusted EPA per play across 452 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 Quinton Flowers'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
163/276 Comp/Att2296 Pass yards22 Pass TD8 INT59.1% Comp %
Rushing
991 Rush yards12 Rush TD191 Carries5.2 Yards/carry

Performance Analysis · 2015 · vs QB peers

  • Efficiency10
  • Volume100
  • Dual-Threat75
  • Consistency78
  • 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)10th %ile · below avg
Game-to-game consistency78th %ile · above avg
Career trajectory:→ Stable
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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.20 from the first to second half of the season.
  • Peak game: 0.62 EPA/play in Wk 13 vs UCF (SP+ -16).

Game Log · box score + EPA, week by week

+0.6200.62Wk 1 vs Florida A&M: +0.35 EPA/play1Wk 2 vs Florida State: -0.14 EPA/play2Wk 3 vs Maryland: +0.01 EPA/play3Wk 5 vs Memphis: +0.14 EPA/play5Wk 6 vs Syracuse: +0.55 EPA/play6Wk 7 vs UConn: +0.37 EPA/play7Wk 8 vs SMU: +0.14 EPA/play8Wk 9 vs Navy: +0.40 EPA/play9Wk 10 vs East Carolina: +0.26 EPA/play10Wk 11 vs Temple: +0.29 EPA/play11Wk 12 vs Cincinnati: +0.61 EPA/play12Wk 13 vs UCF: +0.62 EPA/play13Wk 1 vs Western Kentucky: +0.28 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsFlorida A&MW51-312/161412183.06310.35
2@Florida StateL14-3423.212/241252110.9380-0.14
3@MarylandL17-35-1.610/19601128.28510.01
5vsMemphisL17-248.017/261991141.92300.14
6vsSyracuseW45-24-3.915/222592063.45510.55
7@UConnW28-20-6.311/151572265.59810.37
8vsSMUW38-14-17.59/20970029.920130.14
9@NavyL17-2912.112/202080072.11500.40
10@East CarolinaW22-17-0.512/232002044.37900.26
11vsTempleW44-236.015/222302080.19010.29
12vsCincinnatiW65-275.310/161714291.84900.61
13@UCFW44-3-15.514/211763092.68720.62
1vsWestern KentuckyL35-4510.814/322731053.410820.28

Usage & Situational · Pro

Snap-share proxy
Overall
51.2%
Passing plays
92.4%
Rushing plays
30.0%
Standard downs
45.5%
Passing downs
63.7%
EPA by down type
Standard downs
0.16
Passing downs
0.50
Pass / Rush EPA
0.30 / 0.28

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.780−0.2220162017
EPA per play · 2015 — 2017 · 37 games
SeasonTeamLine valueTotal EPA
2015South Florida
6.1
194.8
2016South Florida
11.4
270.8
2017South Florida
8.0
228.1

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.