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Aiden Gallacher Elite Prospects ↗

Position: Defense DOB: 2000-03-20 Country: USA
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
2017-18 Bismarck Bobcats NAHL 41 1 9 10 0.244 0.0896 0.0967 0.2574 0.2779
2018-19 Youngstown Phantoms USHL 37 3 7 10 0.270 0.1594 0.1589 0.8118 0.8093
2019-20 Youngstown Phantoms USHL 46 8 17 25 0.543 0.3206 0.3206 1.6323 1.6323
■ 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
2024-25 Nebraska Omaha D1 NCHC — 6 0 1 1 0.167
2023-24 Northern Michigan D1 CCHA — 34 3 5 8 0.235
2022-23 Northern Michigan D1 CCHA — 38 2 5 7 0.184
2021-22 Michigan State D1 BigTen — 32 1 1 2 0.062
2020-21 Michigan State D1 BigTen FR 26 0 2 2 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.08
2020-21 · Michigan State
-39.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
0%
NCAA D2/D3
30%
Pro / Other

NCAAe Rankings

#5482
Defenseman overall
#1158
Defenseman born in 2000

D1 Comparables

Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.13 No data
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.11 Average D
NCAAe PPG
Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Dane Cooper
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Mark Mazzetti
Elmira · 2001-02
0.565 Average
actual D2/3 PPG
Mac Carso
Williams · 2018-19
0.538 Average
actual D2/3 PPG
Blake Ulve
St. Norbert · 2019-20
0.552 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.