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Jordan Ronn Elite Prospects ↗

Position: Forward DOB: 2005-06-09 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
2020-21 Champlin Park USHS-MN 19 9 7 16 0.842 0.1066 0.1066 0.2045 0.2045
2021-22 Champlin Park USHS-MN 27 18 28 46 1.704 0.2157 0.2157 0.4138 0.4138
2022-23 Aberdeen Wings NAHL 8 3 7 10 1.250 0.4592 0.5047 1.3194 1.4501
2023-24 Sioux City Musketeers USHL 7 1 4 5 0.714 0.4214 0.4238 2.1453 2.1576
2024-25 Fargo Force USHL 57 15 8 23 0.404 0.2380 0.2272 1.2119 1.1570
■ 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 Minnesota State D1 CCHA FR 36 4 5 9 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.25
2025-26 · Minnesota State
-4.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#8489
Forward overall
#332
Forward born in 2005

D1 Comparables

Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Doug Lindensmith
Norwich · 2009-10
1.044 Elite
actual D2/3 PPG
Austin Master
Stevenson · 2017-18
1.148 Elite
actual D2/3 PPG
Eric Bolden
Elmira · 2015-16
1.000 Elite
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.