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Jake LaRusso Elite Prospects ↗

Position: Forward DOB: 2002-03-16 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
2018-19 New Jersey Jr. Titans NAHL 18 1 2 3 0.167 0.0612 0.0694 0.1760 0.1996
2019-20 New Jersey Jr. Titans NAHL 41 6 9 15 0.366 0.1344 0.1344 0.3862 0.3862
2020-21 New Jersey Jr. Titans NAHL 52 16 28 44 0.846 0.3109 0.3109 0.8932 0.8932
2021-22 — NAHL 54 10 21 31 0.574 0.2109 0.2081 0.6060 0.5978
2022-23 — NAHL 55 30 27 57 1.036 0.3808 0.3570 1.0939 1.0254
■ 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 Chatham D3 UCHC SO 26 11 21 32 1.231
2023-24 Stonehill D1 AHA — 19 3 2 5 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.26
2023-24 · Stonehill
+3.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#12777
Forward overall
#634
Forward born in 2002
#483
in NAHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Fernand-Olivier Perron
University of New England · 2024-25
0.846 Strong
actual D2/3 PPG
Justin Meers
Trine · 2018-19
0.643 Average
actual D2/3 PPG
Mike Domsodi
Wentworth · 2010-11
1.250 Elite
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.