| XTacTcalChaOsX vs Eddy | 33–33 | 50.00% |
| XTacTcalChaOsX vs King | 32–32 | 50.00% |
| XTacTcalChaOsX vs Hwoarang | 26–22 | 54.17% |
| XTacTcalChaOsX vs Paul | 15–19 | 44.12% |
| XTacTcalChaOsX vs Jin | 18–16 | 52.94% |
| XTacTcalChaOsX vs Law | 17–15 | 53.12% |
| XTacTcalChaOsX vs Yoshimitsu | 17–10 | 62.96% |
| XTacTcalChaOsX vs Kazuya | 13–14 | 48.15% |
| XTacTcalChaOsX vs Azucena | 19–8 | 70.37% |
| XTacTcalChaOsX vs Victor | 15–11 | 57.69% |
| XTacTcalChaOsX vs Dragunov | 12–13 | 48.00% |
| XTacTcalChaOsX vs Xiaoyu | 13–9 | 59.09% |
| XTacTcalChaOsX vs Bryan | 16–5 | 76.19% |
| XTacTcalChaOsX vs Jun | 10–11 | 47.62% |
| XTacTcalChaOsX vs Reina | 16–4 | 80.00% |
| XTacTcalChaOsX vs Steve | 11–8 | 57.89% |
| XTacTcalChaOsX vs Lars | 9–9 | 50.00% |
| XTacTcalChaOsX vs Lili | 10–7 | 58.82% |
| XTacTcalChaOsX vs Leroy | 10–7 | 58.82% |
| XTacTcalChaOsX vs Asuka | 9–6 | 60.00% |
| XTacTcalChaOsX vs Feng | 6–7 | 46.15% |
| XTacTcalChaOsX vs Jack-8 | 8–4 | 66.67% |
| XTacTcalChaOsX vs Lee | 9–3 | 75.00% |
| XTacTcalChaOsX vs Devil Jin | 5–6 | 45.45% |
| XTacTcalChaOsX vs Leo | 9–2 | 81.82% |
| XTacTcalChaOsX vs Nina | 4–5 | 44.44% |
| XTacTcalChaOsX vs Raven | 5–4 | 55.56% |
| XTacTcalChaOsX vs Shaheen | 1–4 | 20.00% |
| XTacTcalChaOsX vs Kuma | 2–3 | 40.00% |
| XTacTcalChaOsX vs Alisa | 3–1 | 75.00% |
| XTacTcalChaOsX vs Claudio | 2–2 | 50.00% |
| XTacTcalChaOsX vs Fahkumram | 4–0 | 100.00% |
| XTacTcalChaOsX vs Zafina | 1–1 | 50.00% |
| XTacTcalChaOsX vs Panda | 1–0 | 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.