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Austin Heidemann Elite Prospects ↗

Position: Forward DOB: 1999-06-27 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
2014-15 Breck School USHS-MN 25 8 11 19 0.760 0.0962 0.1025 0.1846 0.1966
2017-18 Steinbach Pistons MJHL 59 24 34 58 0.983 0.1892 0.1963 0.6199 0.6432
2018-19 Green Bay Gamblers USHL 60 15 12 27 0.450 0.2655 0.2550 1.3515 1.2980
2019-20 — USHL 36 8 3 11 0.306 0.1803 0.1803 0.9178 0.9178
■ 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 RPI D1 ECAC — 37 11 16 27 0.730
2022-23 RPI D1 ECAC — 34 10 10 20 0.588
2021-22 Mercyhurst D1 AHA SO 38 12 15 27 0.711
2020-21 Mercyhurst D1 AHA FR 16 7 5 12 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.75
2020-21 · Mercyhurst
+278.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
2%
NCAA D2/D3
15%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#23460
Forward overall
#1165
Forward born in 1999

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Luke Moodie
SUNY Oswego · 2007-08
0.926 Strong
actual D2/3 PPG
Pier-Olivier Cotnoir
Norwich · 2008-09
0.808 Strong
actual D2/3 PPG
Josh Cousineau
Adrian · 2008-09
0.773 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.