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Gavin Keller Elite Prospects ↗

Position: Defense DOB: 2003-07-12 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
2022-23 Lindsay Muskies OJHL 50 5 6 11 0.220 0.0539 0.0526 0.1515 0.1479
2023-24 Lindsay Muskies OJHL 45 1 12 13 0.289 0.0708 0.0654 0.1989 0.1838
■ 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 Ohio University ACHA_D1 — — 26 0 4 4 0.154
2024-25 Ohio University ACHA_D1 — — 26 0 4 4 0.154
2023-24 Ohio University ACHA_D1 — — 26 0 4 4 0.154
2022-23 Ohio University ACHA_D1 — — 26 0 4 4 0.154
2021-22 Ohio University ACHA_D1 — — 26 0 4 4 0.154
2020-21 Ohio University ACHA_D1 — — 26 0 4 4 0.154

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
28%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#20812
Defenseman overall
#3486
Defenseman born in 2003
#3966
in OJHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 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

D2/3 Comparables

Matt Passaretti
Canton · 2018-19
0.000 No data
actual D2/3 PPG
Joseph Vocino
Canton · 2014-15
0.250 Developing
actual D2/3 PPG
Leo Avakovs
Albertus Magnus · 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.