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Ty Whyte Elite Prospects ↗

Position: Forward DOB: 2003-04-02 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
2019-20 Kemptville 73's CCHL 4 1 1 2 0.500 0.1085 0.1085 0.3869 0.3869
2020-21 Kemptville 73's CCHL 0 0 0 0 0.000 — — — —
2021-22 Kemptville 73's CCHL 47 13 10 23 0.489 0.1062 0.1078 0.3786 0.3844
2022-23 Kemptville 73's CCHL 52 25 16 41 0.788 0.1710 0.1660 0.6101 0.5922
2023-24 Kemptville 73's CCHL 19 18 15 33 1.737 0.3767 0.3456 1.3438 1.2327
■ 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
2025-26 RIT D1 AHA SO 26 3 1 4 0.154
2024-25 RIT D1 AHA — 27 2 2 4 0.148
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.15
2024-25 · RIT
-36.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#11022
Forward overall
#492
Forward born in 2003
#97
in CCHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Tyler Seltenreich
University of New England · 2016-17
1.207 Elite
actual D2/3 PPG
Chris Peters
UMass Boston · 2017-18
0.720 Strong
actual D2/3 PPG
Tim Santopaolo
Aurora · 2013-14
0.480 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.