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Max Sasson Elite Prospects ↗

Position: Forward DOB: 2000-09-05 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
2017-18 — NAHL 59 11 14 25 0.424 0.1557 0.1717 — —
2018-19 — USHL 62 8 9 17 0.274 0.1618 0.1650 0.8228 0.8393
2019-20 — USHL 45 11 14 25 0.556 0.3277 0.3277 1.6672 1.6672
2020-21 — USHL 48 20 29 49 1.021 0.6022 0.6022 3.0631 3.0631
■ 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
2022-23 Michigan D1 BigTen — 38 15 27 42 1.105
2022-23 Western Michigan D1 NCHC — 38 15 27 42 1.105
2021-22 Michigan D1 BigTen — 37 9 13 22 0.595
2021-22 Western Michigan D1 NCHC — 37 9 13 22 0.595
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.59
2021-22 · Michigan
+314.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#8033
Forward overall
#345
Forward born in 2000

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Mac Lowry
Stevenson · 2017-18
1.062 Elite
actual D2/3 PPG
Lee Swallow
Milwaukee School of Engineering · 2002-03
1.214 Elite
actual D2/3 PPG
Dom Murphy
University of New England · 2021-22
0.826 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.