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Jon Panisa Elite Prospects ↗

Position: Forward DOB: 2001-07-11 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
2018-19 Central Illinois Flying Aces USHL 42 1 8 9 0.214 0.1365 0.1450 0.6422 0.6823
2019-20 Des Moines Buccaneers USHL 10 0 0 0 0.000 — — — —
2021-22 Springfield Jr. Blues NAHL 34 9 17 26 0.765 0.2839 0.2704 0.8097 0.7713
■ 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
2025-26 St. Olaf D3 MIAC SR 23 11 9 20 0.870
2024-25 St. Olaf D3 MIAC JR 27 16 10 26 0.963
2023-24 St. Olaf D3 MIAC SO 24 6 11 17 0.708
2022-23 St. Olaf D3 MIAC FR 24 8 8 16 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.67
2022-23 · St. Olaf
+253.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
20%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#20367
Forward overall
#719
Forward born in 2001

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Ty Kraus
Northland · 2015-16
0.760 Strong
actual D2/3 PPG
Kevin Shand
Milwaukee School of Engineering · 2015-16
0.412 Average
actual D2/3 PPG
Matthew Cuce
Elmira · 2015-16
1.000 Elite
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.