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Jordan Gudridge Elite Prospects ↗

Position: Defense DOB: 2005-06-28 Country: USA
Gustavus Adolphus
MIAC D3

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
2022-23 Madison Capitols USHL 47 1 5 6 0.128 0.0753 0.0797 0.3832 0.4054
2023-24 Colorado Grit NAHL 48 7 18 25 0.521 0.1913 0.2016 0.5504 0.5800
2024-25 — BCHL 28 2 9 11 0.393 0.1514 0.1490 0.5714 0.5623
2025-26 Watertown Shamrocks NAHL 52 7 26 33 0.635 0.2332 0.2220 0.6707 0.6386
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
5%
NCAA D2/D3
25%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#6411
Defenseman overall
#1551
Defenseman born in 2005

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

Gustavus Adolphus Alumni similar profiles who attended this school

Brendan Payne
0.41
actual FR PPG at Gustavus Adolphus
Patrick Gazich
0.50
actual FR PPG at Gustavus Adolphus
Joe Verboys
0.00
actual FR PPG at Gustavus Adolphus
Andy Pearson
0.68
actual FR PPG at Gustavus Adolphus

D2/3 Comparables

Patrik Peltola
Anna Maria · 2018-19
0.375 Average
actual D2/3 PPG
Tyler Gobel
Western Connecticut · 2024-25
0.600 Average
actual D2/3 PPG
Matt Salmon
SUNY Morrisville · 2008-09
0.577 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.