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Caden Eaton Elite Prospects ↗

Position: Forward DOB: 2002-02-13 Country: USA
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
2021-22 Pembroke Lumber Kings CCHL 49 6 8 14 0.286 0.0620 0.0595 0.2212 0.2121
2022-23 Cornwall Colts CCHL 52 7 10 17 0.327 0.0709 0.0648 0.2531 0.2313
■ 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 Manhattanville D3 UCHC GR 25 3 1 4 0.160
2024-25 Manhattanville D3 UCHC SR 25 0 2 2 0.080
2023-24 Manhattanville D3 UCHC JR 26 1 6 7 0.269
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.27
2023-24 · Manhattanville
+401.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
10%
NCAA D2/D3
72%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#46803
Forward overall
#2995
Forward born in 2002
#1393
in CCHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
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

D2/3 Comparables

Dylan Herold
Elmira · 2009-10
0.400 Average
actual D2/3 PPG
Jake Coyle
Utica · 2007-08
0.542 Average
actual D2/3 PPG
Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
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.