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Dalton Andrew Elite Prospects ↗

Position: Forward DOB: 2003-08-05 Country: Canada
No commitment set

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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 0.0257 0.0267 0.0841 0.0874
2022-23 Winkler Flyers MJHL 57 25 17 42 0.737 0.1418 0.1408 0.4646 0.4613
2023-24 Winkler Flyers MJHL 54 43 39 82 1.518 0.2923 0.2749 0.9576 0.9007
■ 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
0.19
before college
→
Actual FR PPG
0.07
2024-25 · North Dakota
-62.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#20330
Forward overall
#1048
Forward born in 2003
#169
in MJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Andrew Romano
SUNY Geneseo · 2015-16
0.963 Strong
actual D2/3 PPG
Scott Schroeder
Norwich · 2008-09
0.737 Strong
actual D2/3 PPG
Alexei Filimonov
Fitchburg State · 2024-25
1.560 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.