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Ethan Pitzman Elite Prospects ↗

Position: Forward DOB: 2001-11-18 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
2020-21 Northwest Express USPHL-Premier 39 12 19 31 0.795 0.0897 0.0897 0.2699 0.2699
2021-22 Northern Colorado Eagles USPHL-Premier 49 17 26 43 0.878 0.0990 0.0950 0.2979 0.2858
■ 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 Fredonia D3 SUNYAC SR 26 3 3 6 0.231
2024-25 Fredonia D3 SUNYAC JR 4 0 1 1 0.250
2023-24 Fredonia D3 SUNYAC SO 25 3 5 8 0.320
2022-23 Fredonia D3 SUNYAC FR 24 1 6 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.29
2022-23 · Fredonia
+258.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#18117
Forward overall
#846
Forward born in 2001
#1152
in USPHL-Premier

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Bryan Zurowski
SUNY Geneseo · 2018-19
0.267 Developing
actual D2/3 PPG
Brandon Bissett
Hamline · 2017-18
0.360 Average
actual D2/3 PPG
Nate Rogers
Milwaukee School of Engineering · 2016-17
0.500 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.