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Matt Haun

Position: Forward DOB: ⚠ Missing — add in admin Country: ?
No commitment set

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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
2019-20 Rochester Century/John Marshall USHS-MN 27 1 9 10 0.370 0.0456 0.0456 0.0900 0.0900
2020-21 Rochester Century/John Marshall USHS-MN 19 4 7 11 0.579 0.0713 0.0713 0.1406 0.1406
2021-22 Rochester Century/John Marshall USHS-MN 24 12 17 29 1.208 0.1489 0.1489 0.2935 0.2935
■ 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. Scholastica D3 MIAC FR 17 0 4 4 0.235
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.24
2025-26 · St. Scholastica
+133.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
55%
Other

NCAAe Rankings

#25138
Forward overall
#1318
in USHS-MN

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Jeffrey Gauld
Canton · 2015-16
0.818 Strong
actual D2/3 PPG
Cody Pisarczyk
Wisconsin-Stevens Point · 2022-23
0.462 Average
actual D2/3 PPG
Ben Gamache
Hobart · 2009-10
0.560 Average
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.