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Danny Wood Elite Prospects ↗

Position: Forward DOB: 1989-04-15 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
2008-09 Albert Lea Thunder NAHL 54 14 20 34 0.630 0.2494 0.2430 0.6610 0.6441
2009-10 NAHL 56 7 7 14 0.250 0.0990 0.0925 0.2625 0.2452
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
2011-12 Saint Mary's (MN) D3 SO 21 1 4 5 0.238
2010-11 Saint Mary's (MN) D3 FR 24 2 3 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.21
2010-11 · Saint Mary's (MN)
+59.4% vs. projection

NCAAe Rankings

#34756
Forward overall
#1134
Forward born in 1989
#3472
in NAHL

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

St. Scholastica · 2015-16
0.391 Average
actual D2/3 PPG
Elmira · 2014-15
0.565 Average
actual D2/3 PPG
Wisconsin-Stout · 2017-18
0.518 Average
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.