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

Kyler Matthews Elite Prospects ↗

Position: Defense DOB: 1997-11-23 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
2015-16 Mississauga Chargers OJHL 52 1 10 11 0.211 0.0591 0.0611 0.1460 0.1509
2016-17 Mississauga Chargers OJHL 50 4 26 30 0.600 0.1676 0.1657 0.4141 0.4093
2017-18 — OJHL 52 8 24 32 0.615 0.1719 0.1617 0.4247 0.3994
■ 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
2019-20 Canton D3 — SO 21 5 15 20 0.952
2018-19 Canton D3 — FR 17 6 10 16 0.941
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.94
2018-19 · Canton
+510.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
30%
NCAA D2/D3
48%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#7493
Defenseman overall
#1264
Defenseman born in 1997
#2507
in OJHL

D1 Comparables

Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.19 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Garret Peterson
NAHL · 2012-13 · 0.35 PPG
→ Army (0.07 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green (0.49 D1 FR PPG)
0.24 Strong D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.16 No data
NCAAe PPG

D2/3 Comparables

Pat Twombly
UMass Dartmouth · 2017-18
0.000 No data
actual D2/3 PPG
Mike Perrone
UMass Dartmouth · 2018-19
0.643 Average
actual D2/3 PPG
James Coleman
SUNY Plattsburgh · 2000-01
0.500 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.