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Dalton Andrew Elite Prospects ↗

Position: Forward DOB: 2003-08-05 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
2021-22 Winkler Flyers MJHL 30 2 2 4 0.133 0.0362 0.0376 0.0840 0.0873
2022-23 Winkler Flyers MJHL 57 25 17 42 0.737 0.2003 0.1989 0.4643 0.4610
2023-24 Winkler Flyers MJHL 54 43 39 82 1.518 0.4129 0.3884 0.9570 0.9002
■ 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 North Dakota D1 NCHC SO 4 1 0 1 0.250
2024-25 North Dakota D1 NCHC — 14 1 0 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.07
2024-25 · North Dakota
-73.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
5%
NCAA D2/D3
45%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#19994
Forward overall
#1034
Forward born in 2003
#229
in MJHL

D1 Comparables

Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.39 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.45 Developing
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.48 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.50 No data
NCAAe PPG

D2/3 Comparables

Andrew Romano
SUNY Geneseo · 2015-16
0.963 Strong
actual D2/3 PPG
Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Beau Orser
SUNY Oswego · 2012-13
0.714 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.