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Conor Kelly Elite Prospects ↗

Position: Forward DOB: 2003-01-03 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
2021-22 Tilton NE-Prep 24 5 9 14 0.583 0.1125 0.1125 0.2669 0.2669
2022-23 New Hampshire Avalanche EHL 26 5 3 8 0.308 0.0450 0.0448 0.1509 0.1502
2023-24 New Hampshire Avalanche EHL 43 12 16 28 0.651 0.0953 0.0901 0.3193 0.3017
■ 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 Saint Anselm D2 NE10 — 28 6 3 9 0.321
2024-25 Saint Anselm D2 NE10 — 27 5 11 16 0.593
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.59
2024-25 · Saint Anselm
+862.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#31981
Forward overall
#1908
Forward born in 2003

D1 Comparables

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
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Conor MacLean
Wisconsin-Superior · 2018-19
0.550 Average
actual D2/3 PPG
Easton Penna
Concordia (WI) · 2024-25
0.259 Developing
actual D2/3 PPG
Nathan Driver
St. Scholastica · 2021-22
0.300 Developing
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.