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Dylan McElhinny Elite Prospects ↗

Position: Forward DOB: 2003-08-07 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 Timmins Rock NOJHL 36 4 18 22 0.611 0.1041 0.1067 0.2590 0.2655
2022-23 Northern Cyclones NCDC 38 8 18 26 0.684 0.2789 0.2819 0.5475 0.5534
2023-24 Powassan VooDoos NOJHL 27 8 9 17 0.630 0.1072 0.0997 0.2668 0.2481
■ 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 25 5 10 15 0.600
2024-25 Anna Maria D3 MASCAC — 26 6 4 10 0.385
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.38
2024-25 · Anna Maria
+160.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
12%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#33277
Forward overall
#2006
Forward born in 2003

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
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Michael Spethmann
St. Norbert · 2018-19
0.414 Average
actual D2/3 PPG
Rich Dady
Fitchburg State · 2004-05
0.500 Average
actual D2/3 PPG
Terry Leabo
Wisconsin-River Falls · 2013-14
0.704 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.