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Jordan Pachot

#2Jordan Pachot

Jordan Pachot is a Dual-Threat QB for Missouri State. Jordan's 2023 season ranks in the 43th percentile nationally by opponent-adjusted EPA per play across 272 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 Jordan Pachot'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.

2023 Production

Passing
184/272 Comp/Att2288 Pass yards19 Pass TD9 INT67.6% Comp %
Rushing
-111 Rush yards1 Rush TD39 Carries-2.8 Yards/carry

Performance Analysis · 2023 · vs QB peers

  • Efficiency43
  • Volume100
  • Dual-Threat54
  • 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)43th %ile · below avg
Game-to-game consistency85th %ile · above avg
Key findings
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 8 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 — 0.22 EPA/play decline from first to second half.
  • Peak game: 1.20 EPA/play in Wk 2 vs UT Martin.

NIL Market Tier· 2023

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Game Log · EPA per play, week by week

+1.2001.20Wk 2 vs UT Martin: +1.20 EPA/play2Wk 4 vs Utah Tech: +0.68 EPA/play4Wk 5 vs Southern Illinois: +0.23 EPA/play5Wk 6 vs North Dakota State: +0.42 EPA/play6Wk 7 vs Western Illinois: +1.01 EPA/play7Wk 8 vs Murray State: +0.69 EPA/play8Wk 9 vs Youngstown State: +0.40 EPA/play9Wk 10 vs Illinois State: +0.46 EPA/play10Wk 11 vs Northern Iowa: +0.59 EPA/play11Wk 12 vs South Dakota State: +0.31 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+EPA/playPassRush
2UT Martin1.201.430.08
4Utah Tech0.680.68
5Southern Illinois0.230.23
6North Dakota State0.420.390.87
7Western Illinois1.011.050.72
8Murray State0.690.730.21
9Youngstown State0.400.430.20
10Illinois State0.460.440.92
11Northern Iowa0.590.67-2.26
12South Dakota State0.310.330.02

Usage & Situational · Pro

Snap-share proxy
Overall
46.9%
Passing plays
76.0%
Rushing plays
7.4%
Standard downs
40.1%
Passing downs
60.9%
EPA by down type
Standard downs
0.39
Passing downs
0.71
Pass / Rush EPA
0.55 / 0.17

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.