IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Cole Woodliffe Elite Prospects ↗

Position: Forward DOB: 1997-02-10 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
2014-15 West Kelowna Warriors BCHL 7 1 0 1 0.143 0.0556 0.0594 0.2084 0.2225
2015-16 Weyburn Red Wings SJHL 47 6 14 20 0.425 0.1229 0.1258 0.3203 0.3277
2016-17 Weyburn Red Wings SJHL 52 15 19 34 0.654 0.1889 0.1839 0.4922 0.4791
2017-18 Weyburn Red Wings SJHL 36 12 24 36 1.000 0.2889 0.2679 0.7528 0.6982
■ 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
2020-21 Northland D3 — JR 9 1 4 5 0.556
2019-20 Northland D3 — SO 22 3 4 7 0.318
2018-19 Northland D3 — FR 24 10 11 21 0.875
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.88
2018-19 · Northland
+336.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
25%
NCAA D2/D3
52%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17845
Forward overall
#735
Forward born in 1997

D1 Comparables

Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Marc Biggs
Salve Regina · 2011-12
0.962 Strong
actual D2/3 PPG
Steven Sleep
St. Norbert · 2004-05
0.516 Average
actual D2/3 PPG
Danny Bosio
SUNY Geneseo · 2016-17
0.571 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.