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Zac Zimmerman Elite Prospects ↗

Position: Forward DOB: 2008-05-03 Country: USA
Minnesota State
CCHA D1

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
2023-24 Moorhead USHS-MN 27 15 29 44 1.630 0.2063 0.2063 0.3957 0.3957
2024-25 Moorhead USHS-MN 31 32 44 76 2.452 0.3104 0.3104 — —
2025-26 Fargo Force USHL 27 5 8 13 0.481 0.2840 0.2986 1.4448 1.5190
2026-27 Fargo Force USHL 6 1 2 3 0.500 0.2949 0.2949 1.5004 1.5004
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

65%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#6989
Forward overall
#66
Forward born in 2008

D1 Comparables

Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota State (0.36 D1 FR PPG)
0.29 Average
NCAAe PPG
Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG

Minnesota State Alumni similar profiles who attended this school

Jordan Ronn
USHS-MN 2022-23
0.25
actual FR PPG at Minnesota State
Nick Rivera
USHL 2014-15
0.26
actual FR PPG at Minnesota State
Julian Napravnik
DNL 2015-16
0.51
actual FR PPG at Minnesota State
Max Coatta
USHL 2012-13
0.36
actual FR PPG at Minnesota State

D2/3 Comparables

Nolan Redler
UMass Boston · 2014-15
1.125 Elite
actual D2/3 PPG
Mike Bickley
Wisconsin-Superior · 2000-01
1.231 Elite
actual D2/3 PPG
Patrick Stillar
SUNY Morrisville · 2009-10
1.154 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.