| WavyMfCrockett vs Eddy | 21–11 | 65.62% |
| WavyMfCrockett vs Jin | 22–8 | 73.33% |
| WavyMfCrockett vs King | 22–0 | 100.00% |
| WavyMfCrockett vs Reina | 14–3 | 82.35% |
| WavyMfCrockett vs Jun | 12–3 | 80.00% |
| WavyMfCrockett vs Kazuya | 12–2 | 85.71% |
| WavyMfCrockett vs Steve | 13–1 | 92.86% |
| WavyMfCrockett vs Dragunov | 12–2 | 85.71% |
| WavyMfCrockett vs Azucena | 8–5 | 61.54% |
| WavyMfCrockett vs Paul | 9–2 | 81.82% |
| WavyMfCrockett vs Yoshimitsu | 9–2 | 81.82% |
| WavyMfCrockett vs Asuka | 9–1 | 90.00% |
| WavyMfCrockett vs Victor | 8–2 | 80.00% |
| WavyMfCrockett vs Law | 7–2 | 77.78% |
| WavyMfCrockett vs Bryan | 6–3 | 66.67% |
| WavyMfCrockett vs Lars | 7–2 | 77.78% |
| WavyMfCrockett vs Hwoarang | 3–5 | 37.50% |
| WavyMfCrockett vs Devil Jin | 5–3 | 62.50% |
| WavyMfCrockett vs Jack-8 | 2–4 | 33.33% |
| WavyMfCrockett vs Feng | 4–2 | 66.67% |
| WavyMfCrockett vs Nina | 6–0 | 100.00% |
| WavyMfCrockett vs Lee | 6–0 | 100.00% |
| WavyMfCrockett vs Leroy | 5–1 | 83.33% |
| WavyMfCrockett vs Xiaoyu | 5–0 | 100.00% |
| WavyMfCrockett vs Leo | 4–0 | 100.00% |
| WavyMfCrockett vs Alisa | 2–2 | 50.00% |
| WavyMfCrockett vs Claudio | 2–2 | 50.00% |
| WavyMfCrockett vs Kuma | 4–0 | 100.00% |
| WavyMfCrockett vs Lili | 2–1 | 66.67% |
| WavyMfCrockett vs Zafina | 1–2 | 33.33% |
| WavyMfCrockett vs Raven | 3–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.