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Tommy Cronin Elite Prospects ↗

Position: Forward DOB: 2004-09-10 Country: USA
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
2020-21 St. Thomas Academy USHS-MN 21 10 18 28 1.333 0.3589 0.3589 0.3239 0.3239
2021-22 St. Thomas Academy USHS-MN 27 16 16 32 1.185 0.3191 0.3191 0.2879 0.2879
2022-23 Madison Capitols USHL 7 0 1 1 0.143 0.0878 0.0894 0.4210 0.4287
2023-24 Waterloo Black Hawks USHL 9 1 1 2 0.222 0.1366 0.1323 0.6546 0.6340
2024-25 Green Bay Gamblers USHL 8 0 2 2 0.250 0.1537 0.1410 0.7366 0.6758
■ 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 Alaska Fairbanks D1 WCHA FR 18 4 12 16 0.889
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.89
2025-26 · Alaska Fairbanks
+655.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
25%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#8800
Forward overall
#348
Forward born in 2004

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Brendan Hull
Marian · 2006-07
0.852 Strong
actual D2/3 PPG
Cody Pisarczyk
Wisconsin-Stevens Point · 2024-25
0.462 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.