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Brendon Zeis Elite Prospects ↗

Position: Forward DOB: 2002-12-27 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
2021-22 Mid Cities Jr. Stars NA3HL 28 4 5 9 0.321 0.0739 0.0746 0.1018 0.1027
2022-23 Mid Cities Jr. Stars NA3HL 38 7 5 12 0.316 0.0726 0.0700 0.1000 0.0964
■ 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
2025-26 Western Michigan ACHA_D1 — — 0 0 0 0 0.000
2024-25 Western Michigan ACHA_D1 — — 0 0 0 0 0.000
2023-24 Western Michigan ACHA_D1 — — 0 0 0 0 0.000
2022-23 Western Michigan ACHA_D1 — — 0 0 0 0 0.000
2021-22 Western Michigan ACHA_D1 — — 0 0 0 0 0.000
2020-21 Western Michigan ACHA_D1 — — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
0%
Club / ACHA
5%
Other

NCAAe Rankings

#52457
Forward overall
#3437
Forward born in 2002
#3626
in NA3HL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Jake Karelas
Worcester State · 2016-17
0.368 Average
actual D2/3 PPG
Eric Szafranski
Bethel · 2010-11
0.080 Developing
actual D2/3 PPG
Nick LaRue
Milwaukee School of Engineering · 2011-12
0.133 Developing
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.