IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Jake Gerson Elite Prospects ↗

Position: Forward DOB: 1995-09-16 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 Kenai River Brown Bears NAHL 10 0 1 1 0.100 0.0371 0.0372 0.1059 0.1061
2015-16 Hampton Roads Whalers USPHL-Elite 44 30 31 61 1.386 0.1662 0.1588 0.3183 0.3041
■ 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
2019-20 Utica D3 UCHC SR 3 0 0 0 0.000
2018-19 Utica D3 UCHC JR 22 3 5 8 0.364
2017-18 Utica D3 UCHC SO 23 8 10 18 0.783
2016-17 Utica D3 UCHC FR 9 1 1 2 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.22
2016-17 · Utica
+135.6% vs. projection

NCAAe Rankings

#32519
Forward overall
#1355
Forward born in 1995

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Luke Linart
Saint Anselm · 2021-22
0.353 Average
actual D2/3 PPG
Nick Vinson
Southern Maine · 2024-25
0.292 Developing
actual D2/3 PPG
Adam Lang
Saint Anselm · 2025-26
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.