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

Justin Courtnall Elite Prospects ↗

Position: Forward DOB: 1989-05-22 Country: Canada
2007 · Round 7, Pick #210  ·  Tampa Bay Lightning Tampa Bay Lightning
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
2005-06 Victoria Grizzlies BCHL 6 0 0 0 0.000 — — — —
2006-07 — BCHL 58 5 9 14 0.241 0.0930 0.0999 0.3513 0.3772
2007-08 Victoria Grizzlies BCHL 60 19 32 51 0.850 0.3275 0.3340 1.2370 1.2617
2008-09 Victoria Grizzlies BCHL 60 22 41 63 1.050 0.4046 0.3957 1.5281 1.4944
■ 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 Boston University D1 HockeyEast — 39 4 3 7 0.179
2010-11 Boston University D1 HockeyEast — 32 3 3 6 0.188
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.19
2010-11 · Boston University
-41.0% vs. projection

NCAAe Rankings

#16198
Forward overall
#558
Forward born in 1989
#650
in BCHL

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
actual D2/3 PPG
Lucas Michaud
Trinity · 2016-17
0.893 Strong
actual D2/3 PPG
Ryan Bloom
University of New England · 2012-13
1.654 Elite
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.