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Conor Ronayne Elite Prospects ↗

Position: Forward DOB: 2002-07-29 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
2020-21 Chippewa Steel NAHL 34 4 4 8 0.235 0.0836 0.0836 0.2482 0.2482
2021-22 — CCHL 48 18 30 48 1.000 0.2169 0.2129 0.7735 0.7593
2022-23 Smiths Falls Bears CCHL 47 23 31 54 1.149 0.2492 0.2334 0.8887 0.8325
■ 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 Aurora D3 NCHA JR 31 11 2 13 0.419
2023-24 Stonehill D1 AHA — 35 2 5 7 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.20
2023-24 · Stonehill
+3.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
20%
NCAA D2/D3
15%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#16983
Forward overall
#893
Forward born in 2002

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Jacob Mooney
SUNY Plattsburgh · 2010-11
0.630 Average
actual D2/3 PPG
Michael Soik
Milwaukee School of Engineering · 2006-07
1.346 Elite
actual D2/3 PPG
Conor Foley
Franklin Pierce · 2018-19
0.710 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.