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Tyler Cann Elite Prospects ↗

Position: Defense DOB: 1984-05-13 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
2000-01 Oakville Blades OJHL 48 1 7 8 0.167 0.0409 0.0442 0.1148 0.1240
2001-02 Oakville Blades OJHL 45 6 26 32 0.711 0.1743 0.1792 0.4896 0.5034
2002-03 Flin Flon Bombers SJHL 55 5 11 16 0.291 0.0745 0.0770 0.2193 0.2266
2003-04 Port Hope Predators OJHL 46 8 21 29 0.630 0.1545 0.1455 0.4340 0.4087
2004-05 Port Hope Predators OJHL 47 17 23 40 0.851 0.2086 0.1859 0.5860 0.5223
■ 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
2005-06 Elmira D3 UCHC FR 28 5 17 22 0.786
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.79
2005-06 · Elmira
+390.4% vs. projection

NCAAe Rankings

#7087
Defenseman overall
#834
Defenseman born in 1984
#1466
in OJHL

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Noah Bradley
Manhattanville · 2018-19
0.560 Average
actual D2/3 PPG
Brendan Kennedy
Babson · 2021-22
0.696 Strong
actual D2/3 PPG
Gavin Yates
SUNY Plattsburgh · 2015-16
0.800 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.