Skip to content
Mason Rudolph

#2Mason Rudolph

QB·Oklahoma State·20172016201518.4 pts line value1st Round

Mason Rudolph is a 3-year Dual-Threat QB for Oklahoma State. Mason's 2017 season ranks in the 93th percentile nationally by opponent-adjusted EPA per play across 507 plays — a elite rate for the QB. Mason's production has improved each season, a positive development trajectory.

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 Mason Rudolph'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
318/489 Comp/Att4904 Pass yards37 Pass TD9 INT65.0% Comp %
Rushing
35 Rush yards10 Rush TD61 Carries0.6 Yards/carry

Performance Analysis · 2017 · vs QB peers

  • Efficiency93
  • Volume100
  • Dual-Threat100
  • Consistency85
  • 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)93th %ile · elite
Game-to-game consistency85th %ile · above avg
Career trajectory:↑ Rising
Key findings
  • Top-10% efficiency among QBs — elite opponent-adjusted EPA rate.
  • High-volume role — one of the team's most-used QBs by play share.
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game consistency — reliable floor each week.
  • 10 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: 1.00 EPA/play in Wk 3 vs Pittsburgh (SP+ 6).

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
C.J. StroudOhio State0.74617.6355.2
Brandon DoughtyWestern Kentucky0.69018.2394.0
Justin FieldsOhio State0.71317.0385.1
Jalen HurtsOklahoma0.70817.3394.2
Bo NixOregon0.72216.7390.0

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

Game Log · box score + EPA, week by week

+1.0001.00Wk 1 vs Tulsa: +0.79 EPA/play1Wk 2 vs South Alabama: +0.59 EPA/play2Wk 3 vs Pittsburgh: +1.00 EPA/play3Wk 4 vs TCU: +0.47 EPA/play4Wk 5 vs Texas Tech: +0.50 EPA/play5Wk 7 vs Baylor: +0.86 EPA/play7Wk 8 vs Texas: +0.07 EPA/play8Wk 9 vs West Virginia: +0.44 EPA/play9Wk 10 vs Oklahoma: +0.25 EPA/play10Wk 11 vs Iowa State: +0.96 EPA/play11Wk 12 vs Kansas State: +0.23 EPA/play12Wk 13 vs Kansas: +0.62 EPA/play13Wk 1 vs Virginia Tech: +0.48 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsTulsaW59-24-10.720/243033097.1310.79
2@South AlabamaW44-7-12.025/383353093.21810.59
3@PittsburghW59-216.023/324975197.9-301.00
4vsTCUL31-4418.922/413982263.5-810.47
5@Texas TechW41-344.827/383763191.05020.50
7vsBaylorW59-16-1.419/314593097.31110.86
8@TexasW13-1010.625/382820039.4-1400.07
9@West VirginiaW50-395.620/342163174.3510.44
10vsOklahomaL52-6225.528/5444852-1500.25
11@Iowa StateW49-427.525/313763096.7900.96
12vsKansas StateL40-4510.932/534253248.1-2010.23
13vsKansasW58-17-14.831/434382092.2-720.62
1vsVirginia TechW30-2114.321/323512084.4600.48

Usage & Situational · Pro

Snap-share proxy
Overall
53.1%
Passing plays
96.7%
Rushing plays
9.0%
Standard downs
49.8%
Passing downs
60.4%
EPA by down type
Standard downs
0.41
Passing downs
0.77
Pass / Rush EPA
0.54 / 0.58

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.150−0.6820162017
EPA per play · 2015 — 2017 · 39 games
SeasonTeamLine valueTotal EPA
2015Oklahoma State
8.2
213.6
2016Oklahoma State
11.6
283.5
2017Oklahoma State
18.4
387.6

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.