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Dante Spagnuolo Elite Prospects ↗

Position: Forward DOB: 1998-09-04 Country: Canada
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
2015-16 Aurora Tigers OJHL 7 1 0 1 0.143 0.0350 0.0375 0.0984 0.1055
2016-17 OJHL 50 16 21 37 0.740 0.1814 0.1864 0.5095 0.5236
2017-18 Toronto Patriots OJHL 54 23 66 89 1.648 0.4039 0.3956 1.1347 1.1113
2018-19 OJHL 51 20 42 62 1.216 0.2980 0.2773 0.8370 0.7788
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
2023-24 Utica D3 UCHC 27 3 8 11 0.407
2022-23 Adrian D3 NCHA 13 0 3 3 0.231
2021-22 Adrian D3 NCHA 17 8 9 17 1.000
2021-22 Mercyhurst D1 AHA JR 3 0 1 1 0.333
2020-21 Mercyhurst D1 AHA SO 13 1 2 3 0.231
2019-20 Mercyhurst D1 AHA FR 20 1 0 1 0.050
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
Actual FR PPG
0.05
2019-20 · Mercyhurst
-82.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#10685
Forward overall
#482
Forward born in 1998
#191
in OJHL

D1 Comparables

USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Elmira · 2015-16
1.000 Elite
actual D2/3 PPG
Milwaukee School of Engineering · 2015-16
0.412 Average
actual D2/3 PPG
Bowdoin · 2002-03
0.714 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.