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David Goodwin Elite Prospects ↗

Position: Forward DOB: 1992-02-27 Country: USA
Signed Professionally
SaiPa · Liiga

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
2009-10 St. Louis Bandits NAHL 1 0 1 1 1.000 0.3713 0.4002 1.0588 1.1411
2010-11 Green Bay Gamblers USHL 57 9 17 26 0.456 0.2904 0.2871 1.3668 1.3511
2011-12 USHL 58 21 28 49 0.845 0.5380 0.5067 2.5316 2.3843
2012-13 USHL 64 13 30 43 0.672 0.4279 0.3802 2.0135 1.7892
2017-18 SaiPa Liiga 60 10 19 29 0.483
2018-19 SaiPa Liiga 58 13 15 28 0.483
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
2016-17 Penn State D1 BigTen SR 39 11 27 38 0.974
2015-16 Penn State D1 BigTen JR 38 11 27 38 1.000
2014-15 Penn State D1 BigTen SO 36 15 19 34 0.944
2013-14 Penn State D1 BigTen FR 34 7 11 18 0.529
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
Actual FR PPG
0.53
2013-14 · Penn State
+43.5% vs. projection

NCAAe Rankings

#4332
Forward overall
#201
Forward born in 1992

D1 Comparables

WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
NAHL · 2012-13 · 1.02 PPG
→ Clarkson (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Adrian · 2006-07
1.586 Elite
actual D2/3 PPG
SUNY Oswego · 2008-09
0.926 Strong
actual D2/3 PPG
St. Norbert · 2001-02
1.125 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.