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Nigel Nelson Elite Prospects ↗

Position: Forward DOB: 1998-01-17 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
2015-16 Granite City Lumberjacks NA3HL 5 0 1 1 0.200 0.0241 0.0256 — —
2016-17 Amarillo Wranglers NAHL 54 7 5 12 0.222 0.0825 0.0842 0.2353 0.2401
2017-18 Amarillo Wranglers NAHL 60 5 10 15 0.250 0.0928 0.0901 0.2647 0.2571
2018-19 — NAHL 54 7 9 16 0.296 0.1100 0.1019 0.3137 0.2906
■ 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
2021-22 Milwaukee School of Engineering D3 NCHA JR 27 4 5 9 0.333
2020-21 Milwaukee School of Engineering D3 — SO 19 3 6 9 0.474
2019-20 Milwaukee School of Engineering D3 — FR 22 4 4 8 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.36
2019-20 · Milwaukee School of Engineering
+337.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
10%
NCAA D2/D3
88%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#38561
Forward overall
#1763
Forward born in 1998

D1 Comparables

Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Nick Magill-Diaz
Trine · 2017-18
0.300 Developing
actual D2/3 PPG
Jack Vincent
St. Thomas · 2018-19
0.538 Average
actual D2/3 PPG
Cory Patterson
St. Norbert · 2007-08
0.300 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.