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Joe Mancuso Elite Prospects ↗

Position: Forward DOB: 1999-09-14 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 52 13 15 28 0.538 0.1978 0.2085 0.5691 0.5998
2018-19 Maryland Black Bears NAHL 23 3 6 9 0.391 0.1438 0.1451 0.4136 0.4174
2019-20 Northeast Generals NAHL 26 10 9 19 0.731 0.2685 0.2685 0.7724 0.7724
■ 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 Neumann D3 MAC — 11 0 4 4 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.36
2022-23 · Neumann
+149.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
15%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#10459
Forward overall
#483
Forward born in 1999
#269
in NAHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Alec Thieda
Norwich · 2009-10
0.654 Strong
actual D2/3 PPG
Talon Medure
Saint Mary's (MN) · 2016-17
0.000 No data
actual D2/3 PPG
Luke Sawicky
Bethel · 2023-24
0.000 No data
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.