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Dino Mannetta Elite Prospects ↗

Position: Defense DOB: ⚠ Missing — add in admin Country: USA
No commitment set

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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
2021-22 P.A.L. Junior Islanders USPHL-Premier 43 16 20 36 0.837 0.1095 0.1095 0.2841 0.2841
2022-23 P.A.L. Junior Islanders NCDC 49 6 11 17 0.347 0.1414 0.1414 0.2788 0.2788
2023-24 P.A.L. Junior Islanders NCDC 50 6 15 21 0.420 0.1712 0.1712 0.3376 0.3376
■ 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 SUNY Cortland D3 SUNYAC SO 27 2 7 9 0.333
2024-25 SUNY Cortland D3 SUNYAC FR 25 3 7 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.40
2024-25 · SUNY Cortland
+166.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
5%
Club / ACHA
52%
Other

NCAAe Rankings

#4680
Defenseman overall

D1 Comparables

Kyle Mackey
USHL · 2012-13 · 0.16 PPG
→ Air Force (0.21 D1 FR PPG)
0.09 Average D
NCAAe PPG
Ruslan Pedan
USHL · 2012-13 · 0.33 PPG
→ Bemidji State (0.34 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Michael Kapla
USHL · 2012-13 · 0.49 PPG
→ UMass Lowell (0.41 D1 FR PPG)
0.29 Strong D
NCAAe PPG
Gustav Olofsson
USHL · 2012-13 · 0.37 PPG
→ Colorado College (0.27 D1 FR PPG)
0.22 Average D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG

D2/3 Comparables

Kyle Wendorf
Hamline · 2014-15
0.400 Average
actual D2/3 PPG
Chris Muise
SUNY Oswego · 2006-07
0.286 Developing
actual D2/3 PPG
Justin Brandt
Tufts · 2016-17
0.474 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.