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

Rob Johnson Elite Prospects ↗

Position: Forward DOB: 1998-07-12 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 Trail Smoke Eaters BCHL 30 0 11 11 0.367 0.1427 0.1625 0.5348 0.6088
2015-16 Surrey Eagles BCHL 31 1 5 6 0.194 0.0753 0.0817 0.2822 0.3062
2016-17 — AJHL 36 8 16 24 0.667 0.2227 0.2297 0.6189 0.6384
2017-18 Flin Flon Bombers SJHL 37 15 12 27 0.730 0.2108 0.2104 0.5493 0.5483
■ 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
2010-11 St. Thomas D3 — SR 26 10 7 17 0.654
2009-10 St. Thomas D3 — JR 27 11 15 26 0.963
2008-09 St. Thomas D3 — SO 26 19 16 35 1.346
2007-08 St. Thomas D3 — FR 29 12 10 22 0.759

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
8%
NCAA D2/D3
75%
Pro / Other

NCAAe Rankings

#27065
Forward overall
#1135
Forward born in 1998

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Robin Höglund
NAHL · 2012-13 · 0.52 PPG
→ Minnesota
0.19 No data
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.24 Developing
NCAAe PPG
Matt Sieckhaus
NAHL · 2012-13 · 0.74 PPG
→ Bentley (0.24 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Brock King
Milwaukee School of Engineering · 2006-07
0.792 Strong
actual D2/3 PPG
Nate Holm
Northland · 2017-18
0.000 No data
actual D2/3 PPG
Patrick Moore
Wisconsin-Eau Claire · 2011-12
0.625 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.