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Matthew Biotti Elite Prospects ↗

Position: Defense DOB: 2004-08-27 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
2019-20 Belmont Hill NE-Prep 30 1 1 2 0.067 0.0188 0.0188 0.0305 0.0305
2021-22 Belmont Hill NE-Prep 25 5 10 15 0.600 0.1693 0.1693 0.2746 0.2746
2022-23 Belmont Hill NE-Prep 23 4 18 22 0.957 0.2698 0.2698 0.4377 0.4377
2023-24 Penticton Vees BCHL 53 1 13 14 0.264 0.0984 0.0977 0.3850 0.3822
2024-25 Penticton Vees BCHL 23 0 8 8 0.348 0.1296 0.1221 0.5068 0.4776
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 FR 14 0 1 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
Actual FR PPG
0.07
2025-26 · Harvard
-32.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
22%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10497
Defenseman overall
#2247
Defenseman born in 2004

D1 Comparables

USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Hobart · 2011-12
0.560 Average
actual D2/3 PPG
Milwaukee School of Engineering · 2018-19
0.636 Average
actual D2/3 PPG
Nazareth · 2021-22
0.962 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.