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Jalen Hurts

#1Jalen Hurts

QB·Oklahoma·20192017201617.3 pts line value1st Round

Jalen Hurts is a 3-year Dual-Threat QB for Oklahoma. Jalen's 2019 season ranks in the 88th percentile nationally by opponent-adjusted EPA per play across 542 plays — a above-average rate for the QB. Jalen'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 Jalen Hurts'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.

Recruiting Profile· Class of 2016

4-Star · High major target
Stars
247 composite
0.9262
National rank
#175
High school
Channelview
Hometown
Channelview, TX

Recruiting data from CFBD/247Sports composite. Sourced from the player's signing-class team — transfers show original school's class.

2019 Production

Passing
237/341 Comp/Att3851 Pass yards32 Pass TD8 INT69.5% Comp %
Rushing
1298 Rush yards20 Rush TD233 Carries5.6 Yards/carry

Performance Analysis · 2019 · vs QB peers

  • Efficiency88
  • Volume100
  • Dual-Threat100
  • Consistency86
  • Clutch81
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)88th %ile · above avg
Game-to-game consistency86th %ile · above avg
Career trajectory:↑ Rising
Key findings
  • Above-average efficiency for the QB position (88th percentile).
  • 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 — 0.44 EPA/play decline from first to second half.
  • Peak game: 1.06 EPA/play in Wk 1 vs Houston (SP+ -4).

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
Justin FieldsOhio State0.71317.0385.1
Bo NixOregon0.72216.7390.0
Brandon DoughtyWestern Kentucky0.69018.2394.0
Kyle TraskFlorida0.64816.3347.5
Chad KellyOle Miss0.63517.5370.2

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

Game Log · box score + EPA, week by week

+1.0601.06Wk 1 vs Houston: +1.06 EPA/play1Wk 2 vs South Dakota: +0.89 EPA/play2Wk 3 vs UCLA: +1.04 EPA/play3Wk 5 vs Texas Tech: +0.89 EPA/play5Wk 6 vs Kansas: +0.68 EPA/play6Wk 7 vs Texas: +0.34 EPA/play7Wk 8 vs West Virginia: +1.04 EPA/play8Wk 9 vs Kansas State: +0.70 EPA/play9Wk 11 vs Iowa State: +0.46 EPA/play11Wk 12 vs Baylor: +0.42 EPA/play12Wk 13 vs TCU: +0.19 EPA/play13Wk 14 vs Oklahoma State: +0.49 EPA/play14Wk 15 vs Baylor: +0.29 EPA/play15Wk 1 vs LSU: +0.32 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsHoustonW49-31-4.320/233323098.717631.06
2vsSouth DakotaW70-1414/182593095.64700.89
3@UCLAW48-14-3.915/202893099.315011.04
5vsTexas TechW55-162.717/244153199.17010.89
6@KansasW45-20-9.816/242282192.25620.68
7vsTexasW34-2712.016/282353176.213110.34
8vsWest VirginiaW52-14-7.016/173163098.97521.04
9@Kansas StateL41-486.019/263951084.29630.70
11vsIowa StateW42-4112.618/26273316820.46
12@BaylorW34-3117.830/432974111400.42
13vsTCUW28-246.711/211452117320.19
14@Oklahoma StateW34-168.713/16163106110.49
15vsBaylorW30-2317.817/24287113800.29
1vsLSUL28-6333.115/31217014320.32

Usage & Situational · Pro

Snap-share proxy
Overall
59.7%
Passing plays
90.5%
Rushing plays
38.9%
Standard downs
54.7%
Passing downs
72.8%
EPA by down type
Standard downs
0.52
Passing downs
0.72
Pass / Rush EPA
0.63 / 0.51

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+2.370−0.4620172019
EPA per play · 2016 — 2019 · 43 games
SeasonTeamLine valueTotal EPA
2016Alabama
7.4
254.4
2017Alabama
5.6
182.3
2019Oklahoma
17.3
394.2

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.