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Jordan Gibbs Elite Prospects ↗

Position: Defense DOB: 2004-04-19 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 Redwood Valley USHS-MN 19 1 2 3 0.158 0.0195 0.0195 0.0384 0.0384
2022-23 Battlefords North Stars SJHL 51 6 24 30 0.588 0.1507 0.1558 0.4359 0.4507
2023-24 Minot Minotauros NAHL 51 2 6 8 0.157 0.0557 0.0554 0.1647 0.1638
2024-25 Minot Minotauros NAHL 54 2 17 19 0.352 0.1250 0.1177 0.3695 0.3480
■ 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 Wisconsin-Superior D3 WIAC FR 21 1 4 5 0.238
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.24
2025-26 · Wisconsin-Superior
+171.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
20%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#13568
Defenseman overall
#2724
Defenseman born in 2004

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
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
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG

D2/3 Comparables

Tyler Dunagan
Saint John's · 2013-14
0.522 Average
actual D2/3 PPG
Clay Ellerbrock
UMass Dartmouth · 2018-19
0.444 Average
actual D2/3 PPG
Mike McPherson
Plymouth State · 2017-18
0.333 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.