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

Austen Swankler Elite Prospects ↗

Position: Forward DOB: 2001-08-21 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 — USHL 59 12 33 45 0.763 0.4857 0.5187 2.2856 2.4410
2019-20 Erie Otters OHL 59 18 27 45 0.763 0.4552 0.4552 1.9755 1.9755
2020-21 Erie Otters OHL 0 0 0 0 0.000 — — — —
■ 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
2023-24 Michigan Tech D1 CCHA — 10 0 3 3 0.300
2022-23 Bowling Green D1 CCHA — 35 19 25 44 1.257
2021-22 Bowling Green D1 CCHA — 36 8 18 26 0.722
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.48
before college
→
Actual FR PPG
0.72
2021-22 · Bowling Green
+49.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
0%
NCAA D2/D3
22%
Pro / Other

NCAAe Rankings

#3416
Forward overall
#89
Forward born in 2001

D1 Comparables

Connor Hurley
USHL · 2012-13 · 0.73 PPG
→ Notre Dame (0.34 D1 FR PPG)
0.49 Developing
NCAAe PPG
Hudson Fasching
NTDP-U18 · 2012-13 · 0.53 PPG
→ Minnesota (0.75 D1 FR PPG)
0.42 Strong
NCAAe PPG
Karson Kuhlman
USHL · 2012-13 · 0.56 PPG
→ Minnesota Duluth (0.45 D1 FR PPG)
0.38 Average
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.48 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.57 Developing
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Ryan Reifler
Elmira · 2016-17
1.067 Elite
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.