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Tyler Challenger Elite Prospects ↗

Position: Forward DOB: 2008-04-13 Country: Canada
Michigan State
BigTen D1

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
2024-25 Erie Otters OHL 63 6 4 10 0.159 0.0918 0.1006 0.4155 0.4554
2025-26 Sarnia Sting OHL 68 11 7 18 0.265 0.1531 0.1601 0.6931 0.7248
2026-27 Sarnia Sting OHL 7 3 3 6 0.857 0.4958 0.4958 2.2442 2.2442
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
12%
Age-Out / Club
70%
Pro / Other

NCAAe Rankings

#41510
Forward overall
#819
Forward born in 2008
#1347
in OHL

D1 Comparables

John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Frank Vatrano
NTDP-U18 · 2012-13 · 0.80 PPG
→ UMass
0.55 No data
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG

Michigan State Alumni similar profiles who attended this school

Jesse Tucker
USHL 2018-19
0.67
actual FR PPG at Michigan State
Nicolas Müller
SHL-J20 2017-18
0.22
actual FR PPG at Michigan State
Mason Appleton
USHL 2014-15
0.59
actual FR PPG at Michigan State
Joe Cox
USHL 2012-13
0.33
actual FR PPG at Michigan State

D2/3 Comparables

Lucas Signoretti
Buffalo State · 2022-23
1.120 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 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.