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Rocco Andreacchi Elite Prospects ↗

Position: Forward DOB: 1999-10-15 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
2016-17 — OJHL 53 13 14 27 0.509 0.1249 0.1353 0.3487 0.3777
2017-18 Caledon Admirals OJHL 53 19 22 41 0.774 0.1896 0.1962 0.5295 0.5480
2018-19 Caledon Admirals OJHL 50 25 25 50 1.000 0.2451 0.2417 0.6845 0.6750
2019-20 Pickering Panthers OJHL 54 27 42 69 1.278 0.3132 0.3132 0.8747 0.8747
■ 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 SUNY Oswego D3 SUNYAC JR 15 2 8 10 0.667
2022-23 SUNY Oswego D3 SUNYAC SO 10 0 4 4 0.400
2021-22 SUNY Oswego D3 SUNYAC FR 24 6 5 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.46
2021-22 · SUNY Oswego
+139.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#13640
Forward overall
#629
Forward born in 1999
#410
in OJHL

D1 Comparables

Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.32 Developing
NCAAe PPG
A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Brenden Kotyk
St. Scholastica · 2010-11
0.760 Strong
actual D2/3 PPG
Adam Valadao
Curry · 2012-13
0.727 Strong
actual D2/3 PPG
Connor Galloway
SUNY Brockport · 2018-19
1.074 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.