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Augie Ashley Elite Prospects ↗

Position: Forward DOB: 2004-08-19 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
2023-24 Tampa Bay Juniors USPHL-Premier 44 12 25 37 0.841 0.1103 0.1102 0.2855 0.2853
2024-25 Tampa Bay Juniors USPHL-Premier 42 25 40 65 1.548 0.2030 0.1910 0.5254 0.4943
■ 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 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312
2024-25 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312
2023-24 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312
2022-23 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312
2021-22 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312
2020-21 University of Pittsburgh ACHA_D1 — — 32 15 27 42 1.312

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#8736
Forward overall
#329
Forward born in 2004
#332
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Daniel Kroon
St. Scholastica · 2024-25
0.318 Developing
actual D2/3 PPG
Connor Hogg
Concordia · 2014-15
0.560 Average
actual D2/3 PPG
Jonathan Waring
Endicott · 2016-17
0.714 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.