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Tyler Carangelo Elite Prospects ↗

Position: Forward DOB: 1997-07-20 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 Brooks Bandits AJHL 44 6 17 23 0.523 0.1753 0.1723 0.4844 0.4760
2017-18 Brooks Bandits AJHL 24 4 4 8 0.333 0.1118 0.1036 0.3089 0.2862
■ 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
2021-22 Salve Regina D3 CNE SR 23 6 9 15 0.652
2020-21 Salve Regina D3 CNE JR 0 0 0 0 0.000
2019-20 Salve Regina D1 — SO 25 7 5 12 0.480
2019-20 Salve Regina D3 CNE SO 25 7 5 12 0.480
2018-19 Salve Regina D1 — FR 15 3 1 4 0.267
2018-19 Salve Regina D3 CNE FR 15 3 1 4 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.27
2018-19 · Salve Regina
+137.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#27552
Forward overall
#1255
Forward born in 1997
#833
in AJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Sean Williams
SUNY Oswego · 2024-25
0.000 No data
actual D2/3 PPG
Mike McArthur
SUNY Oswego · 2017-18
0.000 No data
actual D2/3 PPG
Jake Yard
SUNY Geneseo · 2007-08
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.