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Tom Reilly Elite Prospects ↗

Position: Forward DOB: 1997-01-27 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
2014-15 New Ulm Steel NA3HL 21 4 8 12 0.571 0.0689 0.0732 0.1805 0.1918
2015-16 New Ulm Steel NA3HL 9 3 4 7 0.778 0.0937 0.0950 0.2457 0.2492
2016-17 — NA3HL 11 3 3 6 0.545 0.0657 0.0633 0.1723 0.1660
2017-18 New Ulm Steel NA3HL 43 24 27 51 1.186 0.1429 0.1304 0.3747 0.3420
■ 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
2018-19 Wisconsin-River Falls D3 BigTen FR 15 0 2 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.13
2018-19 · Wisconsin-River Falls
+50.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#37750
Forward overall
#1758
Forward born in 1997
#1149
in NA3HL

D1 Comparables

Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Marco Iozzo
SUNY Oswego · 2023-24
0.250 Developing
actual D2/3 PPG
Brandon MacKinnon
Concordia Wisconsin · 2017-18
0.478 Average
actual D2/3 PPG
Ryan Bochert
Morrisville · 2015-16
0.300 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.