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Josh Gulden Elite Prospects ↗

Position: Defense DOB: 2004-03-11 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 New Ulm USHS-MN 27 6 9 15 0.556 0.0684 0.0684 0.1350 0.1350
2020-21 New Ulm USHS-MN 20 5 12 17 0.850 0.1047 0.1047 0.2065 0.2065
2021-22 New Ulm Steel NA3HL 8 0 0 0 0.000 — — — —
2022-23 New Ulm Steel NA3HL 19 2 2 4 0.210 0.0233 0.0239 0.0667 0.0683
2023-24 Iroquois Falls Storm NOJHL 13 0 2 2 0.154 0.0219 0.0210 0.0638 0.0612
■ 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 Beloit D3 WIAC FR 18 1 1 2 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
→
Actual FR PPG
0.11
2025-26 · Beloit
+431.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
8%
NCAA D2/D3
30%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#19638
Defenseman overall
#3455
Defenseman born in 2004

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Tommy Tanner
Hamilton · 2017-18
0.250 Developing
actual D2/3 PPG
Bump Lisk
Endicott · 2014-15
0.259 Developing
actual D2/3 PPG
Charlie Erickson
Wisconsin-Eau Claire · 2021-22
0.167 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.