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

John Lee Elite Prospects ↗

Position: Defense DOB: 1989-01-16 Country: USA
2007 · Round 5, Pick #131  ·  Florida Panthers Florida Panthers
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
2006-07 Waterloo Black Hawks USHL 27 2 7 9 0.333 0.1966 0.2051 1.0010 1.0444
2007-08 Waterloo Black Hawks USHL 59 1 11 12 0.203 0.1200 0.1190 0.6109 0.6061
■ 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
2011-12 Denver D1 WCHA-orig SR 43 3 11 14 0.326
2010-11 Denver D1 WCHA-orig JR 39 3 9 12 0.308
2009-10 Denver D1 NCHC SO 41 2 10 12 0.293
2008-09 Denver D1 NCHC FR 39 0 5 5 0.128
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.13
2008-09 · Denver
-11.5% vs. projection

NCAAe Rankings

#10034
Defenseman overall
#1168
Defenseman born in 1989
#3209
in USHL

D1 Comparables

Niklas Folin
USHL · 2012-13 · 0.16 PPG
→ UMass Lowell (0.26 D1 FR PPG)
0.09 Average D
NCAAe PPG
Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG

D2/3 Comparables

Jack Johansen
Fitchburg State · 2018-19
0.000 No data
actual D2/3 PPG
Andrew Lay
Lawrence · 2010-11
0.000 No data
actual D2/3 PPG
Jordan Reed
Curry · 2008-09
0.885 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.