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John Alan Richter
John Alan Richter

#6John Alan Richter

John Alan Richter is a Clutch Passer for Toledo.

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 John Alan Richter'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.

2025 Production

Passing
17/25 Comp/Att153 Pass yards3 Pass TD1 INT68.0% Comp %
Rushing
15 Rush yards0 Rush TD4 Carries3.8 Yards/carry

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

19
Attempts
10.2y
Avg depth
6.7y
After catch
58%
Catch rate

The ball travels 10.2 yards in the air on an average throw 2.4 yards deeper than the median. Another 6.7 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
1
100% · 60y
1
100% · 29y
1
0% · 0y
short
5
60% · 25y
4
50% · 11y
7
57% · 65y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs QB peers

  • Efficiency0
  • Volume40
  • Dual-Threat20
  • Consistency89
  • Clutch100
Player type
Clutch Passer

Elevates on passing downs — 3rd-and-medium, two-minute drills, and pressure situations are where this QB is best.

3rd-down precisionLate-game valueHigh passing-down EPA
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency89th %ile · above avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High game-to-game consistency — reliable floor each week.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.62 EPA/play in Wk 3 vs Morgan State.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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 · box score + EPA, week by week

+0.6200.62Wk 2 vs Western Kentucky: +0.47 EPA/play2Wk 3 vs Morgan State: +0.62 EPA/play3Wk 5 vs Akron: +0.24 EPA/play5
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
2vsWestern KentuckyW45-211.65/9461135.5400.47
3vsMorgan StateW60-010/14932071.7800.62
5vsAkronW45-3-13.92/2140033.0300.24

Usage & Situational · Pro

Snap-share proxy
Overall
14.1%
Passing plays
30.5%
Rushing plays
2.4%
Standard downs
12.7%
Passing downs
18.4%
EPA by down type
Standard downs
-0.90
Passing downs
-0.24
Pass / Rush EPA
-0.09 / —

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.