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Nate Sucese Elite Prospects ↗

Position: Forward DOB: 1996-07-12 Country: USA
Signed Professionally

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
2012-13 Buffalo Jr. Sabres OJHL 3 1 2 3 1.000 0.3004 0.3374 0.6845 0.7687
2013-14 Dubuque Fighting Saints USHL 2 1 0 1 0.500 0.3074 0.3260 1.4731 1.5622
2014-15 Dubuque Fighting Saints USHL 51 12 15 27 0.529 0.3254 0.3291 1.5597 1.5773
2015-16 Dubuque Fighting Saints USHL 60 26 33 59 0.983 0.6044 0.5831 2.8970 2.7951
■ 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
2019-20 Penn State D1 BigTen SR 34 11 27 38 1.118
2018-19 Penn State D1 BigTen JR 39 19 18 37 0.949
2017-18 Penn State D1 BigTen SO 36 14 15 29 0.806
2016-17 Penn State D1 BigTen FR 38 17 19 36 0.947
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.95
2016-17 · Penn State
+129.8% vs. projection

NCAAe Rankings

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.58 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.46 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG

D2/3 Comparables

Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Geordan Buffoline
New England · 2017-18
1.667 Elite
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
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.