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Henry Molson Elite Prospects ↗

Position: Forward DOB: 2000-11-07 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
2018-19 Taft NE-Prep 22 6 6 12 0.545 0.1100 0.1100 0.2497 0.2497
2019-20 Taft NE-Prep 25 8 15 23 0.920 0.1855 0.1855 0.4211 0.4211
■ 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
2023-24 Colby D3 NESCAC SR 25 6 6 12 0.480
2022-23 Colby D3 NESCAC JR 21 4 5 9 0.429
2021-22 Colby D3 NESCAC SO 19 2 5 7 0.368
2020-21 Colby D3 NESCAC FR 3 1 0 1 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.33
2020-21 · Colby
+150.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D2/D3
0%
Club / ACHA
68%
Other

NCAAe Rankings

#26901
Forward overall
#967
Forward born in 2000
#295
in NE-Prep

D1 Comparables

Brady Ferguson
NAHL · 2012-13 · 0.57 PPG
→ Robert Morris (0.76 D1 FR PPG)
0.22 Strong
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.15 Developing
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Kyle Haak
NAHL · 2012-13 · 0.44 PPG
→ Air Force (0.53 D1 FR PPG)
0.17 Average
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.09 Developing
NCAAe PPG

D2/3 Comparables

Ben Payne
Concordia · 2006-07
0.480 Average
actual D2/3 PPG
Justin Ryan
SUNY Oswego · 2021-22
0.591 Average
actual D2/3 PPG
Nathan Dingmann
Wisconsin-Eau Claire · 2014-15
0.458 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.