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Brett LoGelfo Elite Prospects ↗

Position: Forward DOB: 2004-08-13 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
2022-23 Toledo Cherokee USPHL-Premier 42 16 27 43 1.024 0.1155 0.1209 0.3483 0.3646
2023-24 Toledo Cherokee USPHL-Premier 44 13 48 61 1.386 0.1564 0.1562 0.4717 0.4710
2024-25 P.A.L. Junior Islanders USPHL-Premier 44 22 52 74 1.682 0.1897 0.1783 0.5721 0.5378
■ 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 Manhattanville D3 UCHC FR 19 1 4 5 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.26
2025-26 · Manhattanville
+81.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#6122
Forward overall
#205
Forward born in 2004
#181
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Quinn Fuchs
Concordia · 2015-16
0.458 Average
actual D2/3 PPG
Jake Terra
Elmira · 2023-24
0.560 Average
actual D2/3 PPG
Thomas Gerum
Salve Regina · 2024-25
0.440 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.