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Austin McCarthy Elite Prospects ↗

Position: Forward DOB: 1999-03-01 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
2016-17 Amarillo Wranglers NAHL 3 1 0 1 0.333 0.1225 0.1319 0.3518 0.3787
2017-18 Amarillo Wranglers NAHL 59 3 12 15 0.254 0.0934 0.0959 0.2683 0.2755
2018-19 Amarillo Wranglers NAHL 60 13 24 37 0.617 0.2266 0.2226 0.6509 0.6393
2019-20 Amarillo Wranglers NAHL 52 17 30 47 0.904 0.3321 0.3321 0.9540 0.9540
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
2024-25 Adrian D3 NCHA 17 4 2 6 0.353
2023-24 Ferris State D1 CCHA SR 20 3 2 5 0.250
2022-23 Ferris State D1 CCHA JR 7 1 0 1 0.143
2021-22 Ferris State D1 CCHA SO 5 0 0 0 0.000
2020-21 Ferris State D1 WCHA FR 5 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#19436
Forward overall
#959
Forward born in 1999
#1240
in NAHL

D1 Comparables

USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2013-14
0.462 Average
actual D2/3 PPG
Salve Regina · 2022-23
0.538 Average
actual D2/3 PPG
Saint John's · 2017-18
0.957 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.