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Kai Daniells Elite Prospects ↗

Position: Forward DOB: 2003-03-07 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 Chilliwack Chiefs BCHL 1 0 0 0 0.000 — — — —
2020-21 Nanaimo Clippers BCHL 20 1 5 6 0.300 0.1118 0.1118 0.4371 0.4371
2021-22 Nanaimo Clippers BCHL 54 22 20 42 0.778 0.2897 0.2937 1.1333 1.1488
2022-23 Nanaimo Clippers BCHL 54 35 36 71 1.315 0.4898 0.4725 1.9158 1.8482
■ 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 Princeton D1 ECAC JR 34 19 20 39 1.147
2024-25 Princeton D1 ECAC JR 18 2 2 4 0.222
2023-24 Princeton D1 ECAC SO 30 8 11 19 0.633
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.63
2023-24 · Princeton
+84.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
22%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#12360
Forward overall
#572
Forward born in 2003
#467
in BCHL

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG

D2/3 Comparables

Nicolas Pigeon
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Travis Janke
Norwich · 2009-10
1.258 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2018-19
0.706 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.