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Salvatore Guzzo Elite Prospects ↗

Position: Forward DOB: 2005-04-17 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
No commitment set

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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
2021-22 U.S. National U17 Team NTDP-U18 52 8 3 11 0.211 0.1640 0.1683 0.7872 0.8077
2022-23 U.S. National U18 Team NTDP-U18 59 17 12 29 0.491 0.3811 0.3709 1.8293 1.7804
■ 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 Harvard D1 ECAC JR 19 4 0 4 0.210
2024-25 Harvard D1 ECAC SO 21 3 0 3 0.143
2023-24 Harvard D1 ECAC FR 29 0 4 4 0.138
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.14
2023-24 · Harvard
-44.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#16951
Forward overall
#889
Forward born in 2005

D1 Comparables

Luke Stork
USHL · 2012-13 · 0.47 PPG
→ Ohio State (0.33 D1 FR PPG)
0.30 Developing
NCAAe PPG
Frederik Tiffels
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.66 D1 FR PPG)
0.32 Strong
NCAAe PPG
Mike Marnell
USHL · 2012-13 · 0.49 PPG
→ St. Lawrence (0.53 D1 FR PPG)
0.32 Average
NCAAe PPG
Tyler Motte
USHL · 2012-13 · 0.65 PPG
→ Michigan (0.53 D1 FR PPG)
0.42 Average
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.46 Strong
NCAAe PPG

D2/3 Comparables

Ryan Bloom
New England · 2010-11
1.654 Elite
actual D2/3 PPG
Gage Dill
Curry · 2018-19
1.000 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2007-08
0.893 Strong
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.