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Jordan Nelson Elite Prospects ↗

Position: Forward DOB: 1992-04-16 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
2010-11 St. Cloud Norsemen NAHL 58 27 14 41 0.707 0.2625 0.2713 0.7485 0.7736
2011-12 Fargo Force USHL 53 7 11 18 0.340 0.2163 0.2052 1.0177 0.9653
2012-13 Fargo Force USHL 56 17 16 33 0.589 0.3753 0.3360 1.7660 1.5811
■ 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
2016-17 Minnesota State D1 WCHA SR 33 4 9 13 0.394
2015-16 Minnesota State D1 WCHA JR 38 3 3 6 0.158
2014-15 Minnesota State D1 WCHA SO 36 4 9 13 0.361
2013-14 Minnesota State D1 WCHA FR 27 5 1 6 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.22
2013-14 · Minnesota State
-8.5% vs. projection

NCAAe Rankings

#10520
Forward overall
#461
Forward born in 1992

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG

D2/3 Comparables

Hunter Scanlon
UMass Dartmouth · 2023-24
0.611 Average
actual D2/3 PPG
Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Braden Desmet
Wisconsin-Superior · 2005-06
1.391 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.