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Tyler Johnson Elite Prospects ↗

Position: Forward DOB: 1985-07-11 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
2001-02 Moose Jaw Warriors WHL 24 2 1 3 0.125 0.0608 0.0674 0.3051 0.3381
2002-03 Moose Jaw Warriors WHL 49 8 6 14 0.286 0.1389 0.1469 0.6973 0.7375
2003-04 — WHL 57 9 11 20 0.351 0.1706 0.1722 0.8565 0.8643
2004-05 Red Deer Rebels WHL 55 10 19 29 0.527 0.2564 0.2450 1.2870 1.2298
2005-06 Seattle Thunderbirds WHL 66 10 16 26 0.394 0.1915 0.1740 0.9614 0.8736
■ 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
2013-14 Hamline D3 — SR 23 0 0 0 0.000
2012-13 Hamline D3 — JR 23 4 0 4 0.174
2011-12 Hamline D3 — SO 26 2 3 5 0.192
2010-11 Hamline D3 — FR 15 0 0 0 0.000

NCAAe Rankings

#19259
Forward overall
#717
Forward born in 1985
#1431
in WHL

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Shane Remenda
SUNY Plattsburgh · 2002-03
0.655 Strong
actual D2/3 PPG
Brycon Johnson
Bryn Athyn · 2016-17
0.778 Strong
actual D2/3 PPG
Joey Martini
St. Scholastica · 2004-05
1.192 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.