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Danny Wurden Elite Prospects ↗

Position: Defense DOB: 1989-05-01 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
2006-07 Sioux City Musketeers USHL 16 1 1 2 0.125 0.0737 0.0780 0.3683 0.3896
2007-08 Sioux City Musketeers USHL 54 1 11 12 0.222 0.1311 0.1319 0.6546 0.6588
2008-09 Sioux City Musketeers USHL 58 2 10 12 0.207 0.1221 0.1174 0.6096 0.5863
2009-10 Sioux City Musketeers USHL 57 6 20 26 0.456 0.2691 0.2416 1.3438 1.2063
■ 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
2010-11 Wisconsin-Stevens Point D3 — FR 12 0 1 1 0.083
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.08
2010-11 · Wisconsin-Stevens Point
-54.0% vs. projection

NCAAe Rankings

#6698
Defenseman overall
#922
Defenseman born in 1989
#2701
in USHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Brett Mueller
Fredonia · 2008-09
0.842 Strong
actual D2/3 PPG
Daniel Eruzione
Salve Regina · 2016-17
1.207 Elite
actual D2/3 PPG
Robbie Murden
Hamilton · 2012-13
1.091 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.