IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Alex Gagnon Elite Prospects ↗

Position: Forward DOB: 1998-12-16 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 — CCHL 60 10 14 24 0.400 0.0868 0.0827 0.3064 0.2919
■ 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
2022-23 Albertus Magnus D3 UCHC — 25 13 20 33 1.320
2021-22 Albertus Magnus D3 UCHC — 18 11 18 29 1.611
2020-21 Albertus Magnus D3 UCHC — 2 0 0 0 0.000
2019-20 Elmira D3 UCHC — 25 2 12 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.56
2019-20 · Elmira
+691.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
18%
NCAA D2/D3
40%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#41639
Forward overall
#2200
Forward born in 1998
#1121
in CCHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Connor Amsley
Endicott · 2018-19
0.500 Average
actual D2/3 PPG
David Pazzaglia
Salem State · 2004-05
0.435 Average
actual D2/3 PPG
Nick O'Connor
Colby · 2014-15
0.480 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.