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Tommy Tanner Elite Prospects ↗

Position: Forward DOB: 1998-03-17 Country: Canada
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
2017-18 Cornwall Colts CCHL 45 14 22 36 0.800 0.1735 0.1665 0.6190 0.5941
2018-19 Cornwall Colts CCHL 46 6 10 16 0.348 0.0754 0.0690 0.2691 0.2463
■ 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
2022-23 Hamilton D3 NESCAC SR 1 0 0 0 0.000
2021-22 Hamilton D3 NESCAC JR 4 0 0 0 0.000
2020-21 Hamilton D3 NESCAC SO 0 0 0 0 0.000
2019-20 Hamilton D1 NESCAC FR 20 1 4 5 0.250
2019-20 Hamilton D3 NESCAC FR 20 1 4 5 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.25
2019-20 · Hamilton
+170.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
5%
NCAA D2/D3
72%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#33284
Forward overall
#1666
Forward born in 1998
#768
in CCHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Dominic Schimizzi
Hobart · 2021-22
0.500 Average
actual D2/3 PPG
Raphaël Gosselin
Wisconsin-Stout · 2017-18
0.518 Average
actual D2/3 PPG
Jameson Raymond
Lawrence · 2007-08
0.571 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.