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Charlie Brewer

#16Charlie Brewer

QB·Baylor·201920185.2 pts line valueDay 3 (Rds 4–7)

Charlie Brewer is a 2-year Dual-Threat QB for Baylor. Charlie's 2019 season ranks in the 13th percentile nationally by opponent-adjusted EPA per play across 530 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 Charlie Brewer'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.

2019 Production

Passing
251/389 Comp/Att3161 Pass yards21 Pass TD7 INT64.5% Comp %
Rushing
343 Rush yards11 Rush TD147 Carries2.3 Yards/carry

Performance Analysis · 2019 · vs QB peers

  • Efficiency13
  • Volume100
  • Dual-Threat86
  • Consistency72
  • 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)13th %ile · below avg
Game-to-game consistency72th %ile · average
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.
  • Production faded as the season progressed — 0.33 EPA/play decline from first to second half.
  • Peak game: 0.90 EPA/play in Wk 2 vs UTSA (SP+ -24).

Game Log · box score + EPA, week by week

+0.9000.90Wk 1 vs Stephen F. Austin: +0.32 EPA/play1Wk 2 vs UTSA: +0.90 EPA/play2Wk 4 vs Rice: +0.63 EPA/play4Wk 5 vs Iowa State: +0.25 EPA/play5Wk 6 vs Kansas State: +0.28 EPA/play6Wk 7 vs Texas Tech: +0.30 EPA/play7Wk 8 vs Oklahoma State: +0.65 EPA/play8Wk 10 vs West Virginia: +0.33 EPA/play10Wk 11 vs TCU: +0.15 EPA/play11Wk 12 vs Oklahoma: +0.27 EPA/play12Wk 13 vs Texas: +0.29 EPA/play13Wk 14 vs Kansas: +0.31 EPA/play14Wk 15 vs Oklahoma: -0.44 EPA/play15Wk 1 vs Georgia: +0.10 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsStephen F. AustinW56-1721/311993078.4-100.32
2vsUTSAW63-14-23.712/161633091.81010.90
4@RiceW21-13-18.020/273031089.35810.63
5vsIowa StateW23-2112.626/453073053.22900.25
6@Kansas StateW31-126.014/232301052.6-2200.28
7vsTexas TechW33-302.724/373520367.35530.30
8@Oklahoma StateW45-278.713/173121088.51610.65
10vsWest VirginiaW17-14-7.020/26277202500.33
11@TCUW29-236.727/41195214110.15
12vsOklahomaL31-3422.918/29194216520.27
13vsTexasW24-1012.016/25221107510.29
14@KansasW61-6-9.813/2518211-1200.31
15vsOklahomaL23-3022.93/61500-30-0.44
1vsGeorgiaL14-2626.824/4121111710.10

Usage & Situational · Pro

Snap-share proxy
Overall
55.6%
Passing plays
87.3%
Rushing plays
25.3%
Standard downs
49.4%
Passing downs
67.5%
EPA by down type
Standard downs
0.17
Passing downs
0.51
Pass / Rush EPA
0.30 / 0.33

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.040−0.622019
EPA per play · 2018 — 2019 · 27 games
SeasonTeamLine valueTotal EPA
2018Baylor
6.8
229.3
2019Baylor
5.2
215.4

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.