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Dylan Nelson Elite Prospects ↗

Position: Defense DOB: 1993-11-12 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
2011-12 Willmar WarHawks NA3HL 5 0 1 1 0.200 0.0460 0.0478 0.0634 0.0659
2012-13 St. Cloud Norsemen NAHL 6 0 0 0 0.000 — — — —
2013-14 Waywayseecappo Wolverines MJHL 60 7 6 13 0.217 0.0589 0.0564 0.1366 0.1309
■ 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
2017-18 Wisconsin-Superior D3 BigTen SR 27 1 7 8 0.296
2016-17 Wisconsin-Superior D3 BigTen JR 3 0 0 0 0.000
2015-16 Wisconsin-Superior D3 BigTen SO 25 0 2 2 0.080
2014-15 Wisconsin-Superior D3 BigTen FR 28 1 2 3 0.107
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.11
2014-15 · Wisconsin-Superior
+106.4% vs. projection

NCAAe Rankings

#17362
Defenseman overall
#1743
Defenseman born in 1993

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG

D2/3 Comparables

A.J. Woodward
St. Mary's · 2005-06
0.320 Developing
actual D2/3 PPG
Travis Marit
Concordia (WI) · 2013-14
0.176 Developing
actual D2/3 PPG
Ronnie Smith
Manhattanville · 2008-09
0.250 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.