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Easton Zueger Elite Prospects ↗

Position: Defense DOB: 2003-06-07 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
2019-20 St. Cloud Norsemen NAHL 2 0 0 0 0.000 — — — —
2020-21 — NAHL 3 0 0 0 0.000 — — — —
2021-22 Sioux Falls Stampede USHL 50 1 1 2 0.040 0.0246 0.0248 0.1178 0.1186
2022-23 Sioux City Musketeers USHL 47 5 4 9 0.192 0.1177 0.1124 0.5642 0.5389
■ 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 Army D1 AHA JR 30 1 5 6 0.200
2024-25 Army D1 AHA JR 36 2 3 5 0.139
2023-24 Army D1 AHA SO 21 1 2 3 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.14
2023-24 · Army
+95.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
35%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#20468
Defenseman overall
#3454
Defenseman born in 2003

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG

D2/3 Comparables

Stefano Alonzi
SUNY Cortland · 2014-15
0.680 Strong
actual D2/3 PPG
Nathan Garnier
SUNY Cortland · 2022-23
0.696 Strong
actual D2/3 PPG
Spencer Barrow
Elmira · 2023-24
0.294 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.