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Arthur Gordon Elite Prospects ↗

Position: Forward DOB: 1994-10-04 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
2012-13 Sherwood Park Crusaders AJHL 38 10 6 16 0.421 0.1406 0.1467 0.3909 0.4078
2013-14 Sherwood Park Crusaders AJHL 42 4 4 8 0.191 0.0636 0.0631 0.1768 0.1753
2014-15 Sherwood Park Crusaders AJHL 58 20 24 44 0.759 0.2534 0.2378 0.7042 0.6607
■ 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
2018-19 SUNY Geneseo D3 — SR 28 6 8 14 0.500
2017-18 SUNY Geneseo D3 — JR 28 9 4 13 0.464
2016-17 SUNY Geneseo D3 — SO 26 7 11 18 0.692
2015-16 SUNY Geneseo D3 — FR 23 11 4 15 0.652
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.65
2015-16 · SUNY Geneseo
+353.9% vs. projection

NCAAe Rankings

#24798
Forward overall
#997
Forward born in 1994
#1348
in AJHL

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Ryan Kearney
Suffolk · 2024-25
0.583 Average
actual D2/3 PPG
Jarryd Ten Vaanholt
Elmira · 2011-12
0.600 Average
actual D2/3 PPG
Cory Mozak
Wisconsin-Stout · 2004-05
0.640 Average
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.