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Anthony Cipollone Elite Prospects ↗

Position: Forward DOB: 2002-05-14 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
2018-19 Loomis Chaffee NE-Prep 25 7 6 13 0.520 0.1467 0.1467 0.2380 0.2380
2019-20 Loomis Chaffee NE-Prep 28 7 12 19 0.679 0.1914 0.1914 0.3105 0.3105
2020-21 Brooks Bandits AJHL 19 2 8 10 0.526 0.1746 0.1746 0.4878 0.4878
2021-22 Brooks Bandits AJHL 59 16 26 42 0.712 0.2362 0.2298 0.6598 0.6419
■ 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 Quinnipiac D1 ECAC SR 34 3 7 10 0.294
2024-25 Quinnipiac D1 ECAC JR 38 0 3 3 0.079
2023-24 Quinnipiac D1 ECAC SO 36 7 6 13 0.361
2022-23 Quinnipiac D1 ECAC FR 14 1 1 2 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.14
2022-23 · Quinnipiac
-22.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
5%
NCAA D2/D3
35%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#27176
Forward overall
#1564
Forward born in 2002

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Sebastian Panetta
SUNY Geneseo · 2004-05
0.615 Average
actual D2/3 PPG
Tyler Voigt
Tufts · 2010-11
0.960 Strong
actual D2/3 PPG
Brian Doust
Fredonia · 2009-10
0.684 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.