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Skylar Christoffersen Elite Prospects ↗

Position: Forward DOB: 1985-10-28 Country: Canada
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
2003-04 West Kelowna Warriors BCHL 2 0 0 0 0.000 — — — —
2004-05 Southeast Blades MJHL 59 8 22 30 0.508 0.0979 0.0981 0.3205 0.3212
2005-06 Southeast Blades MJHL 55 16 32 48 0.873 0.1680 0.1597 0.5500 0.5228
■ 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
2009-10 Wisconsin-Eau Claire D3 — SR 20 2 1 3 0.150
2008-09 Wisconsin-Eau Claire D3 — JR 15 3 3 6 0.400
2007-08 Wisconsin-Eau Claire D3 — SO 8 0 0 0 0.000
2006-07 Wisconsin-River Falls D3 — FR 5 0 1 1 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.20
2006-07 · Wisconsin-River Falls
+73.0% vs. projection

NCAAe Rankings

#28649
Forward overall
#882
Forward born in 1985

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Carter Roo
Wisconsin-Stevens Point · 2016-17
0.593 Average
actual D2/3 PPG
Matt Lippa
Manhattanville · 2014-15
0.583 Average
actual D2/3 PPG
Jeffrey Beck
Manhattanville · 2014-15
0.478 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.