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John Larkin Elite Prospects ↗

Position: Defense DOB: 2001-01-26 Country: USA
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
2017-18 Youngstown Phantoms USHL 15 1 3 4 0.267 0.1639 0.1789 0.7858 0.8575
2018-19 Youngstown Phantoms USHL 53 1 2 3 0.057 0.0348 0.0362 0.1668 0.1734
2019-20 Youngstown Phantoms USHL 49 1 7 8 0.163 0.1004 0.1004 0.4811 0.4811
2020-21 Muskegon Lumberjacks USHL 50 1 9 10 0.200 0.1229 0.1229 0.5892 0.5892
2021-22 Austin Bruins NAHL 49 2 25 27 0.551 0.2183 0.2030 0.5785 0.5379
■ 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 Mercyhurst D1 AHA SR 36 1 5 6 0.167
2024-25 Ohio State D1 BigTen GR 7 0 0 0 0.000
2023-24 Ohio State D1 BigTen SR 3 1 0 1 0.333
2022-23 Ohio State D1 BigTen JR 10 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#9590
Defenseman overall
#1885
Defenseman born in 2001

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Cory Anderson
Manhattanville · 2014-15
0.739 Strong
actual D2/3 PPG
Carlos Fornaris
New England College · 2015-16
1.115 Elite
actual D2/3 PPG
Alex Doyle
Bryn Athyn · 2016-17
0.600 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.