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Gavin Proeh Elite Prospects ↗

Position: Forward DOB: 1998-05-22 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
2016-17 Northern Cyclones EHL 39 3 9 12 0.308 0.0711 0.0752 0.1506 0.1593
2017-18 Northwest Express USPHL-Premier 41 18 36 54 1.317 0.1723 0.1696 0.4470 0.4401
■ 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 Anna Maria D3 MASCAC SR 22 5 11 16 0.727
2020-21 Anna Maria D1 MASCAC JR 5 0 3 3 0.600
2020-21 Anna Maria D3 MASCAC JR 6 0 4 4 0.667
2019-20 Anna Maria D1 MASCAC SO 24 10 14 24 1.000
2019-20 Anna Maria D3 MASCAC SO 24 10 14 24 1.000
2018-19 Anna Maria D1 MASCAC FR 24 6 4 10 0.417
2018-19 Anna Maria D3 MASCAC FR 24 6 4 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.42
2018-19 · Anna Maria
+269.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
80%
Other

NCAAe Rankings

#16128
Forward overall
#742
Forward born in 1998

D1 Comparables

Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Cole Schneider
Lawrence · 2021-22
0.760 Strong
actual D2/3 PPG
Nicholas Bennett
Elmira · 2023-24
0.739 Strong
actual D2/3 PPG
Bailey Sommers
Hamline · 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.