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Kolby Amici Elite Prospects ↗

Position: Forward DOB: 2002-12-16 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
2021-22 Philadelphia Rebels NAHL 54 9 10 19 0.352 0.1293 0.1324 0.3719 0.3809
2022-23 — NAHL 57 12 17 29 0.509 0.1869 0.1822 0.5378 0.5244
■ 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
2026-27 Bentley D1 AHA SR 0 0 0 0 0.000
2025-26 Bentley D1 AHA GR 14 0 0 0 0.000
2024-25 Bentley D1 AHA SR 5 0 0 0 0.000
2023-24 Bentley D1 AHA JR 14 2 0 2 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.14
2023-24 · Bentley
2.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
15%
NCAA D2/D3
48%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#32274
Forward overall
#1932
Forward born in 2002
#3039
in NAHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Jim Pearson
Concordia · 2015-16
0.708 Strong
actual D2/3 PPG
Corey Kennedy
Neumann · 2014-15
0.500 Average
actual D2/3 PPG
Matt Lippa
Manhattanville · 2014-15
0.583 Average
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.