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Kai Clayton Elite Prospects ↗

Position: Forward DOB: 2004-09-12 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
2022-23 Ontario Jr. Reign USPHL-Premier 43 17 25 42 0.977 0.1278 0.1343 0.3315 0.3484
2023-24 French River Rapids NOJHL 35 11 17 28 0.800 0.1336 0.1316 0.3330 0.3279
2024-25 — NOJHL 38 2 12 14 0.368 0.0615 0.0577 0.1534 0.1439
■ 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 Calvin University ACHA_D1 — — 27 1 5 6 0.222
2024-25 Calvin University ACHA_D1 — — 27 1 5 6 0.222
2023-24 Calvin University ACHA_D1 — — 27 1 5 6 0.222
2022-23 Calvin University ACHA_D1 — — 27 1 5 6 0.222
2021-22 Calvin University ACHA_D1 — — 27 1 5 6 0.222
2020-21 Calvin University ACHA_D1 — — 27 1 5 6 0.222

College Pathway Likelihood (based on 40 comparables)

0%
NCAA D1
30%
NCAA D2/D3
60%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#48120
Forward overall
#3283
Forward born in 2004

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Byron Carlisle
Wentworth · 2014-15
0.280 Developing
actual D2/3 PPG
Charlie Weiand
Wisconsin-Eau Claire · 2017-18
0.000 No data
actual D2/3 PPG
Cory Baldwin
Wisconsin-River Falls · 2005-06
0.207 Developing
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.