| CCauldron vs King | 19–16 | 54.29% |
| CCauldron vs Steve | 15–17 | 46.88% |
| CCauldron vs Bryan | 17–13 | 56.67% |
| CCauldron vs Paul | 13–14 | 48.15% |
| CCauldron vs Hwoarang | 16–11 | 59.26% |
| CCauldron vs Jin | 13–14 | 48.15% |
| CCauldron vs Law | 12–14 | 46.15% |
| CCauldron vs Reina | 18–6 | 75.00% |
| CCauldron vs Heihachi | 13–11 | 54.17% |
| CCauldron vs Kazuya | 12–10 | 54.55% |
| CCauldron vs Devil Jin | 8–14 | 36.36% |
| CCauldron vs Lee | 9–10 | 47.37% |
| CCauldron vs Azucena | 8–9 | 47.06% |
| CCauldron vs Yoshimitsu | 6–9 | 40.00% |
| CCauldron vs Asuka | 6–9 | 40.00% |
| CCauldron vs Eddy | 8–7 | 53.33% |
| CCauldron vs Clive | 9–5 | 64.29% |
| CCauldron vs Lili | 6–7 | 46.15% |
| CCauldron vs Jun | 7–6 | 53.85% |
| CCauldron vs Xiaoyu | 7–3 | 70.00% |
| CCauldron vs Dragunov | 4–6 | 40.00% |
| CCauldron vs Nina | 4–5 | 44.44% |
| CCauldron vs Leroy | 5–4 | 55.56% |
| CCauldron vs Victor | 7–2 | 77.78% |
| CCauldron vs Lidia | 5–4 | 55.56% |
| CCauldron vs Feng | 4–4 | 50.00% |
| CCauldron vs Leo | 4–4 | 50.00% |
| CCauldron vs Raven | 6–2 | 75.00% |
| CCauldron vs Jack-8 | 3–3 | 50.00% |
| CCauldron vs Lars | 1–5 | 16.67% |
| CCauldron vs Kuma | 3–3 | 50.00% |
| CCauldron vs Shaheen | 2–3 | 40.00% |
| CCauldron vs Fahkumram | 4–1 | 80.00% |
| CCauldron vs Alisa | 2–2 | 50.00% |
| CCauldron vs Zafina | 0–2 | 0.00% |
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.