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Adam Winborg Elite Prospects ↗

Position: Forward DOB: 1995-03-31 Country: Sweden
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 AIK U20 SHL-J20 5 2 2 4 0.800 0.4463 0.4893 1.1529 1.2639
2012-13 Green Bay Gamblers USHL 49 1 7 8 0.163 0.1040 0.1085 0.4894 0.5104
2013-14 Janesville Jets NAHL 59 14 24 38 0.644 0.2392 0.2467 0.6820 0.7035
2014-15 Janesville Jets NAHL 55 29 23 52 0.946 0.3511 0.3438 1.0011 0.9802
2015-16 Janesville Jets NAHL 56 19 36 55 0.982 0.3647 0.3409 1.0398 0.9720
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
2019-20 Michigan D1 BigTen SR 4 0 0 0 0.000
2018-19 Michigan D1 BigTen JR 27 4 1 5 0.185
2017-18 Michigan D1 BigTen SO 39 3 5 8 0.205
2016-17 Michigan D1 BigTen FR 30 8 8 16 0.533
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
Actual FR PPG
0.53
2016-17 · Michigan
+82.1% vs. projection

NCAAe Rankings

#8433
Forward overall
#292
Forward born in 1995

D1 Comparables

USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Manhattanville · 2003-04
0.875 Strong
actual D2/3 PPG
UMass Boston · 2011-12
0.926 Strong
actual D2/3 PPG
SUNY Potsdam · 2005-06
0.960 Strong
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.