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Nathan Dingmann Elite Prospects ↗

Position: Forward DOB: 1996-11-22 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
2014-15 Wayzata High USHS-MN 25 9 14 23 0.920 0.2477 0.2318 0.2235 0.2091
2015-16 Alberni Valley Bulldogs BCHL 56 21 29 50 0.893 0.3475 0.3486 1.3021 1.3062
2016-17 Sioux Falls Stampede USHL 42 2 11 13 0.309 0.1971 0.1837 0.9275 0.8644
■ 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
2020-21 Wisconsin-Eau Claire D3 BigTen SR 8 2 2 4 0.500
2019-20 Wisconsin-Eau Claire D3 BigTen JR 26 6 3 9 0.346
2018-19 Wisconsin-Eau Claire D3 BigTen SO 28 7 8 15 0.536
2017-18 Wisconsin-Eau Claire D3 BigTen FR 24 5 6 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.46
2017-18 · Wisconsin-Eau Claire
+114.5% vs. projection

NCAAe Rankings

#13961
Forward overall
#545
Forward born in 1996

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Chance Gorman
Elmira · 2018-19
0.800 Strong
actual D2/3 PPG
Jory McWilliams
Bethel · 2017-18
0.000 No data
actual D2/3 PPG
Mike Egan
Babson · 2017-18
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.