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Danny Cangelosi Elite Prospects ↗

Position: Forward DOB: 1998-04-06 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
2016-17 EHL 36 10 9 19 0.528 0.1219 0.1281 0.2583 0.2715
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
2020-21 Neumann D3 MAC SR 8 3 2 5 0.625
2019-20 Neumann D3 MAC JR 24 12 5 17 0.708
2018-19 Chatham D3 UCHC SO 10 5 3 8 0.800
2018-19 Neumann D3 MAC SO 13 3 4 7 0.538
2017-18 Chatham D3 UCHC FR 22 4 1 5 0.227
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
Actual FR PPG
0.23
2017-18 · Chatham
+107.2% vs. projection

NCAAe Rankings

#30886
Forward overall
#1528
Forward born in 1998
#981
in EHL

D1 Comparables

USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG

D2/3 Comparables

Albertus Magnus · 2019-20
0.353 Average
actual D2/3 PPG
Trinity · 2019-20
0.000 No data
actual D2/3 PPG
Tufts · 2022-23
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.