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Sean McGurn Elite Prospects ↗

Position: Forward DOB: 2002-07-30 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
2017-18 Ottawa Jr. Senators CCHL 4 0 1 1 0.250 0.0798 0.0940 0.1935 0.2280
2019-20 London Knights OHL 38 1 2 3 0.079 0.0458 0.0458 0.2022 0.2022
2020-21 London Knights OHL 0 0 0 0 0.000 — — — —
2021-22 London Knights OHL 66 20 53 73 1.106 0.6419 0.6120 2.8344 2.7026
2022-23 London Knights OHL 67 27 56 83 1.239 0.7189 0.6544 3.1744 2.8895
■ 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 Arizona State D1 NCHC SO 32 4 9 13 0.406
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.59
before college
→
Actual FR PPG
0.41
2025-26 · Arizona State
-31.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
62%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#4690
Forward overall
#185
Forward born in 2002

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.68 Elite
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.68 Developing
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
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.