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Jon Hansen Elite Prospects ↗

Position: Defense DOB: 1997-12-15 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
2014-15 Duluth Marshall School USHS-MN 25 6 8 14 0.560 0.1508 0.1491 0.1360 0.1345
2016-17 Minnesota Mullets USPHL-Elite 38 8 20 28 0.737 0.0883 0.0892 0.1692 0.1709
2017-18 Minnesota Mullets USPHL-Premier 44 10 39 49 1.114 0.1499 0.1443 0.3791 0.3651
■ 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
2021-22 St. Scholastica D3 MIAC SR 23 1 8 9 0.391
2020-21 St. Scholastica D3 — JR 7 1 1 2 0.286
2019-20 St. Scholastica D3 — SO 24 3 5 8 0.333
2018-19 St. Scholastica D3 — FR 22 3 7 10 0.455
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.45
2018-19 · St. Scholastica
+293.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
0%
Club / ACHA
22%
Other

NCAAe Rankings

#8765
Defenseman overall
#1399
Defenseman born in 1997

D1 Comparables

Garret Peterson
NAHL · 2012-13 · 0.35 PPG
→ Army (0.07 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.16 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.19 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG

D2/3 Comparables

Chris Berenguer
Hamline · 2005-06
0.944 Strong
actual D2/3 PPG
George Curry
Canton · 2011-12
0.467 Average
actual D2/3 PPG
Andrew Bechard
SUNY Plattsburgh · 2018-19
0.000 No data
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.