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Austin Nault Elite Prospects ↗

Position: Forward DOB: 1999-06-01 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
2015-16 Des Moines Buccaneers USHL 1 0 0 0 0.000 — — — —
2017-18 Kindersley Klippers SJHL 44 11 6 17 0.386 0.1177 0.1227 0.2864 0.2986
2018-19 Kindersley Klippers SJHL 57 19 25 44 0.772 0.2351 0.2330 0.5721 0.5669
2019-20 — SJHL 31 14 14 28 0.903 0.2751 0.2751 0.6694 0.6694
■ 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 Marian D3 NCHA — 24 5 2 7 0.292
2022-23 Marian D3 NCHA — 22 1 1 2 0.091
2021-22 Marian D3 NCHA — 17 5 5 10 0.588
2020-21 St. Thomas D3 — FR 4 2 2 4 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
1.00
2020-21 · St. Thomas
+518.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#24272
Forward overall
#1224
Forward born in 1999

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Billy Berry
Wilkes · 2018-19
0.407 Average
actual D2/3 PPG
Adam Czarnecki
Milwaukee School of Engineering · 2016-17
0.300 Developing
actual D2/3 PPG
Jackson Leef
Westfield State · 2011-12
0.926 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.