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Nolan Ring Elite Prospects ↗

Position: Forward DOB: 2003-05-16 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
2019-20 Timmins Rock NOJHL 1 0 0 0 0.000 — — — —
2021-22 Timmins Rock NOJHL 34 9 13 22 0.647 0.1102 0.1117 0.2742 0.2780
2022-23 Timmins Rock NOJHL 54 26 21 47 0.870 0.1482 0.1439 0.3689 0.3581
2023-24 Timmins Rock NOJHL 44 15 27 42 0.955 0.1626 0.1493 0.4045 0.3715
■ 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 Anna Maria D3 MASCAC SO 21 8 10 18 0.857
2024-25 Fredonia D3 SUNYAC FR 13 1 5 6 0.462
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.46
2024-25 · Fredonia
+266.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
20%
NCAA D2/D3
45%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#27810
Forward overall
#1591
Forward born in 2003
#286
in NOJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Jason Bowles
Manhattanville · 2008-09
0.250 Developing
actual D2/3 PPG
Tyler Mathieu
Southern Maine · 2014-15
0.391 Average
actual D2/3 PPG
Michael Thompson
Milwaukee School of Engineering · 2004-05
0.741 Strong
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.