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Frankie Carogioiello Elite Prospects ↗

Position: Forward DOB: 2002-06-21 Country: Canada
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
2019-20 Newmarket Hurricanes OJHL 10 1 4 5 0.500 0.1502 0.1502 0.3422 0.3422
2020-21 Muskegon Lumberjacks USHL 25 1 3 4 0.160 0.0984 0.0984 0.4714 0.4714
2021-22 Chilliwack Chiefs BCHL 27 11 13 24 0.889 0.3311 0.3239 1.2952 1.2670
■ 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 St. Lawrence D1 ECAC SR 35 1 4 5 0.143
2024-25 Miami D1 NCHC SR 32 1 1 2 0.062
2023-24 Miami D1 NCHC JR 4 2 0 2 0.500
2022-23 Miami D1 NCHC SO 22 0 4 4 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.18
2022-23 · Miami
-34.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
28%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#25812
Forward overall
#1455
Forward born in 2002

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Dylan Clarke
SUNY Plattsburgh · 2005-06
1.267 Elite
actual D2/3 PPG
Tyler Resch
Manhattanville · 2000-01
1.154 Elite
actual D2/3 PPG
Dakota Dubetz
Marian · 2007-08
1.333 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.