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Caydon Meyer Elite Prospects ↗

Position: Defense DOB: 2000-03-31 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
2017-18 NAHL 42 0 1 1 0.024 0.0087 0.0094 0.0251 0.0271
2018-19 Winkler Flyers MJHL 38 3 3 6 0.158 0.0304 0.0310 0.0996 0.1017
2019-20 Wilkes-Barre/Scranton Knights NAHL 46 4 14 18 0.391 0.1438 0.1438
2020-21 NAHL 8 0 2 2 0.250 0.0919 0.0919 0.2639 0.2639
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
2024-25 Bethel D3 MIAC SR 20 0 7 7 0.350
2023-24 Bethel D3 MIAC JR 21 2 5 7 0.333
2022-23 Bethel D3 MIAC SO 24 1 9 10 0.417
2021-22 Bethel D3 MIAC FR 6 2 4 6 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
Actual FR PPG
1.00
2021-22 · Bethel
+4639.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#19155
Defenseman overall
#2895
Defenseman born in 2000
#5657
in NAHL

D1 Comparables

USHL · 2012-13 · 0.08 PPG
→ New Hampshire (0.15 D1 FR PPG)
0.05 Average D
NCAAe PPG
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.32 D1 FR PPG)
0.06 Strong D
NCAAe PPG
USHL · 2012-13 · 0.17 PPG
→ Notre Dame
0.10 No data
NCAAe PPG
USHL · 2012-13 · 0.15 PPG
→ Bentley (0.25 D1 FR PPG)
0.09 Average D
NCAAe PPG
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Lawrence · 2002-03
0.250 Developing
actual D2/3 PPG
Milwaukee School of Engineering · 2013-14
0.250 Developing
actual D2/3 PPG
SUNY Geneseo · 2001-02
0.379 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.