IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Tony Achille Elite Prospects ↗

Position: Forward DOB: 2002-01-08 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
2019-20 New England Knights NA3HL 1 0 0 0 0.000 — — — —
2020-21 Boston Advantage NCDC 43 14 14 28 0.651 0.3631 0.3631 0.5266 0.5266
2021-22 Boston Advantage NCDC 47 15 13 28 0.596 0.3322 0.3235 0.4817 0.4691
2022-23 Maine Nordiques NAHL 59 13 26 39 0.661 0.2619 0.2431 0.6940 0.6442
■ 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 Arizona State D1 NCHC GR 12 0 0 0 0.000
2024-25 Arizona State D1 NCHC SR 15 0 0 0 0.000
2023-24 Arizona State D1 NCHC JR 12 0 3 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.25
2023-24 · Arizona State
+6.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
10%
NCAA D2/D3
70%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#15013
Forward overall
#771
Forward born in 2002

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Josh Grund
SUNY Brockport · 2021-22
0.640 Average
actual D2/3 PPG
Billy Foulds
Manhattanville · 2001-02
0.640 Average
actual D2/3 PPG
Logan Ganz
Wisconsin-Eau Claire · 2024-25
0.840 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.