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

Austin Magera Elite Prospects ↗

Position: Forward DOB: 1998-07-19 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
2017-18 — USHL 41 6 8 14 0.342 0.2015 0.1945 1.0257 0.9899
■ 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
2022-23 Sacred Heart D1 AHA GR 37 8 20 28 0.757
2021-22 Sacred Heart D1 AHA SR 30 10 14 24 0.800
2020-21 Sacred Heart D1 AHA JR 17 7 7 14 0.824
2019-20 Sacred Heart D1 AHA SO 34 8 15 23 0.676
2018-19 Sacred Heart D1 AHA FR 36 14 13 27 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.75
2018-19 · Sacred Heart
+350.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
8%
NCAA D2/D3
50%
Pro / Other

NCAAe Rankings

#26884
Forward overall
#1309
Forward born in 1998
#2577
in USHL

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Mitch Stephens
SUNY Geneseo · 2001-02
1.077 Elite
actual D2/3 PPG
Austin Micale
Buffalo State · 2022-23
0.808 Strong
actual D2/3 PPG
Omar Mullan
Milwaukee School of Engineering · 2012-13
1.286 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.