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Max Scott Elite Prospects ↗

Position: Forward DOB: 2002-10-11 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 Houston Bulls NAHL 43 4 5 9 0.209 0.0829 0.0829 0.2197 0.2197
2021-22 Lincoln Stars USHL 13 0 1 1 0.077 0.0473 0.0461 0.2266 0.2208
2022-23 Houston Bulls NAHL 59 22 26 48 0.814 0.3223 0.3113 0.8542 0.8251
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 Maine D1 HockeyEast JR 29 5 13 18 0.621
2024-25 Brown D1 ECAC 32 12 14 26 0.812
2023-24 Brown D1 ECAC 22 7 11 18 0.818
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
Actual FR PPG
0.82
2023-24 · Brown
+365.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
48%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#25084
Forward overall
#1401
Forward born in 2002
#2024
in NAHL

D1 Comparables

NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.39 Developing
NCAAe PPG
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.45 Developing
NCAAe PPG
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

SUNY Plattsburgh · 2010-11
0.630 Average
actual D2/3 PPG
Wilkes · 2017-18
1.385 Elite
actual D2/3 PPG
Anna Maria · 2021-22
0.850 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.