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Alfred Rotiroti Elite Prospects ↗

Position: Forward DOB: 2001-09-03 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
2020-21 — USPHL-Premier 31 12 9 21 0.677 0.2233 0.2233 0.2305 0.2305
2021-22 Soo Thunderbirds NOJHL 18 9 3 12 0.667 0.1695 0.1574 0.2766 0.2569
■ 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 Rivier D3 MASCAC SR 24 2 2 4 0.167
2024-25 Rivier D3 MASCAC JR 24 2 4 6 0.250
2023-24 Rivier D3 MASCAC SO 24 7 6 13 0.542
2022-23 Rivier D3 MASCAC FR 21 4 2 6 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.29
2022-23 · Rivier
+112.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#29505
Forward overall
#1545
Forward born in 2001

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Frédérick Allaire
Hamilton · 2018-19
0.385 Average
actual D2/3 PPG
Tyler Antonucci
SUNY Oswego · 2017-18
0.000 No data
actual D2/3 PPG
Jake Bushey
Gustavus Adolphus · 2013-14
0.609 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.