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

Everett Wardle Elite Prospects ↗

Position: Forward DOB: 1999-01-07 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
2017-18 Utica Jr. Comets NCDC 1 0 0 0 0.000 — — — —
2018-19 Odessa Jackalopes NAHL 30 3 2 5 0.167 0.0592 0.0577 0.1750 0.1706
2019-20 Connecticut Jr. Rangers NCDC 50 17 33 50 1.000 0.2311 0.2311 0.8086 0.8086
■ 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
2023-24 Skidmore D3 SUNYAC SR 28 8 17 25 0.893
2022-23 Skidmore D3 SUNYAC JR 27 7 21 28 1.037
2021-22 Skidmore D3 SUNYAC SO 28 10 13 23 0.821
2020-21 Skidmore D3 SUNYAC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
8%
NCAA D2/D3
30%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#10834
Forward overall
#478
Forward born in 1999
#262
in NCDC

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

D2/3 Comparables

Andrew Lee
Nazareth · 2016-17
0.000 No data
actual D2/3 PPG
Shane Bernhardson
Concordia · 2016-17
0.000 No data
actual D2/3 PPG
Derek Stabile
Becker · 2004-05
0.636 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.