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Jon Crouse Elite Prospects ↗

Position: Defense DOB: 1988-07-06 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2006-07 — NAHL 29 1 1 2 0.069 0.0256 0.0265 0.0731 0.0756
2007-08 North Iowa Outlaws NAHL 57 1 11 12 0.210 0.0782 0.0771 0.2229 0.2196
2008-09 North Iowa Outlaws NAHL 57 7 23 30 0.526 0.1954 0.1828 0.5572 0.5214
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2012-13 Bethel D3 MIAC SR 25 0 8 8 0.320
2011-12 Bethel D3 MIAC JR 25 2 13 15 0.600
2010-11 Bethel D3 MIAC SO 23 5 18 23 1.000
2009-10 Bethel D3 — FR 25 4 17 21 0.840
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.84
2009-10 · Bethel
+533.0% vs. projection

NCAAe Rankings

#9876
Defenseman overall
#1312
Defenseman born in 1988
#4174
in NAHL

D1 Comparables

Casey Nelson
NAHL · 2012-13 · 0.57 PPG
→ Minnesota State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG
Jake Flynn
NAHL · 2012-13 · 0.39 PPG
→ UConn (0.30 D1 FR PPG)
0.14 Strong D
NCAAe PPG

D2/3 Comparables

Kenny Matheson
Hamilton · 2011-12
0.889 Strong
actual D2/3 PPG
Reid Watson
Saint Mary's · 2024-25
0.429 Average
actual D2/3 PPG
Gavin Yates
SUNY Plattsburgh · 2015-16
0.800 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.