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Mac Gadowsky Elite Prospects ↗

Position: Defense DOB: 2002-01-10 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
2019-20 Avon Old Farms NE-Prep 27 1 1 2 0.074 0.0209 0.0209 0.0339 0.0339
2021-22 Springfield Jr. Blues NAHL 22 2 10 12 0.545 0.2161 0.2113 0.5727 0.5599
2022-23 — NAHL 56 3 17 20 0.357 0.1415 0.1314 0.3749 0.3481
■ 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 Penn State D1 BigTen JR 36 1 17 18 0.500
2024-25 Army D1 AHA — 38 16 26 42 1.105
2023-24 Army D1 AHA — 28 4 19 23 0.821
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.82
2023-24 · Army
+432.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
5%
NCAA D2/D3
62%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#11990
Defenseman overall
#2416
Defenseman born in 2002

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Jeremy Quesnel
SUNY Potsdam · 2021-22
0.478 Average
actual D2/3 PPG
Sam Antenucci
Trine · 2021-22
0.792 Strong
actual D2/3 PPG
Danny Rock
SUNY Brockport · 2016-17
0.280 Developing
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.