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Sterling Wolters Elite Prospects ↗

Position: Defense DOB: 2002-01-18 Country: Canada
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
2021-22 Burlington Cougars OJHL 48 5 19 24 0.500 0.1226 0.1169 0.3422 0.3262
2022-23 Maine Nordiques NAHL 56 3 17 20 0.357 0.1268 0.1179 0.3749 0.3485
■ 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 SUNY Geneseo D3 — JR 27 6 10 16 0.593
2024-25 SUNY Geneseo D3 — SO 22 1 11 12 0.545
2023-24 SUNY Geneseo D3 SUNYAC FR 25 1 5 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.24
2023-24 · SUNY Geneseo
+116.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
8%
NCAA D2/D3
60%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#11131
Defenseman overall
#2312
Defenseman born in 2002

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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

D2/3 Comparables

Danny Rock
SUNY Brockport · 2016-17
0.280 Developing
actual D2/3 PPG
Adam Young
Manhattanville · 2009-10
0.500 Average
actual D2/3 PPG
Justin Derlago
Utica · 2014-15
0.417 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.