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Teddy Puccini Elite Prospects ↗

Position: Forward DOB: 2003-01-03 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
2019-20 Georgetown Raiders OJHL 8 2 1 3 0.375 0.0919 0.0919 0.2567 0.2567
2020-21 Georgetown Raiders OJHL 0 0 0 0 0.000 — — — —
2021-22 East Coast Wizards EHL 39 3 5 8 0.205 0.0300 0.0314 0.1006 0.1054
2022-23 Georgetown Raiders OJHL 53 19 21 40 0.755 0.1850 0.1758 0.5166 0.4908
2023-24 Georgetown Raiders OJHL 35 15 23 38 1.086 0.2661 0.2390 0.7432 0.6675
■ 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 Lake Forest D3 NCHA — 9 0 1 1 0.111
2024-25 Lake Forest D3 NCHA — 3 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
18%
NCAA D2/D3
50%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#22809
Forward overall
#1230
Forward born in 2003
#1010
in OJHL

D1 Comparables

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

D2/3 Comparables

Shayne Morrissey
Neumann · 2012-13
0.885 Strong
actual D2/3 PPG
Mike Glaesmer
St. Mary's · 2006-07
1.040 Elite
actual D2/3 PPG
Alex Sanchez
Aurora · 2015-16
0.000 No data
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.