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Morgan Zirbel Elite Prospects ↗

Position: Defense DOB: ⚠ Missing — add in admin 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
2013-14 Bay Area Ice Bears USHS-W 22 3 13 16 0.727 0.2187 0.2187 — —
2014-15 Bay Area Ice Bears USHS-W 23 3 11 14 0.609 0.1830 0.1830 — —
2015-16 Bay Area Ice Bears USHS-W 24 11 8 19 0.792 0.2381 0.2381 — —
■ 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
2020-21 Wisconsin-Eau Claire D3 WIAC — 10 1 4 5 0.500
2019-20 Wisconsin-Eau Claire D3 WIAC JR 27 9 5 14 0.519
2018-19 Wisconsin-Eau Claire D3 WIAC SO 29 6 11 17 0.586
2017-18 Wisconsin-Eau Claire D3 WIAC FR 28 5 6 11 0.393
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.39
2017-18 · Wisconsin-Eau Claire
+92.6% vs. projection

NCAAe Rankings

#828
Defenseman overall
#1325
in USHS-W

D1 Comparables

Dani Sadek
USHS-MN-W · 2012-13 · 1.46 PPG
→ Ohio State (0.61 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Grace Bizal
USHS-MN-W · 2012-13 · 1.16 PPG
→ Boston College (0.27 D1 FR PPG)
0.19 Average D
NCAAe PPG
Kate Hallett
USHS-MN-W · 2012-13 · 1.08 PPG
→ Harvard (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Katie Robinson
USHS-MN-W · 2012-13 · 1.08 PPG
→ Minnesota (0.13 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Christa Vuglar
USHS-W · 2013-14 · 1.00 PPG
→ RIT (0.21 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

McKenzie Rich
Franklin Pierce · 2021-22
0.219 Developing
actual D2/3 PPG
Megan Dulong
Wisconsin-Superior · 2015-16
0.407 Average
actual D2/3 PPG
Bailey Olson
Wisconsin-River Falls · 2016-17
0.407 Average
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.