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Thomas Weis Elite Prospects ↗

Position: Forward DOB: 2002-02-08 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
2019-20 Madison Capitols USHL 38 2 2 4 0.105 0.0647 0.0647 0.3102 0.3102
2020-21 Oklahoma Warriors NAHL 52 20 25 45 0.865 0.3429 0.3429 1.8610 1.8610
2021-22 Fargo Force USHL 62 5 15 20 0.323 0.1983 0.1866 0.9504 0.8942
2022-23 Madison Capitols USHL 9 2 2 4 0.444 0.2732 0.2428 1.3093 1.1638
■ 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 Ohio State D1 BigTen GR 34 1 4 5 0.147
2024-25 Ohio State D1 BigTen SR 35 2 5 7 0.200
2023-24 Ohio State D1 BigTen JR 37 4 7 11 0.297
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.30
2023-24 · Ohio State
+57.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
18%
NCAA D2/D3
40%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#26117
Forward overall
#1478
Forward born in 2002
#2556
in USHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Brady Fleurent
New England · 2014-15
1.074 Elite
actual D2/3 PPG
Jared Docking
SUNY Plattsburgh · 2008-09
0.739 Strong
actual D2/3 PPG
Matt Galati
SUNY Oswego · 2012-13
1.241 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.