| Kbça vs King | 98–118 | 45.37% |
| Kbça vs Jin | 69–89 | 43.67% |
| Kbça vs Steve | 76–53 | 58.91% |
| Kbça vs Bryan | 74–54 | 57.81% |
| Kbça vs Kazuya | 56–54 | 50.91% |
| Kbça vs Eddy | 44–65 | 40.37% |
| Kbça vs Fahkumram | 43–53 | 44.79% |
| Kbça vs Asuka | 34–54 | 38.64% |
| Kbça vs Hwoarang | 36–50–1 | 41.86% |
| Kbça vs Heihachi | 38–44 | 46.34% |
| Kbça vs Law | 32–40 | 44.44% |
| Kbça vs Dragunov | 29–35 | 45.31% |
| Kbça vs Reina | 26–34 | 43.33% |
| Kbça vs Lili | 22–31 | 41.51% |
| Kbça vs Victor | 22–31 | 41.51% |
| Kbça vs Azucena | 25–25 | 50.00% |
| Kbça vs Armor King | 27–23 | 54.00% |
| Kbça vs Paul | 19–22 | 46.34% |
| Kbça vs Xiaoyu | 15–25 | 37.50% |
| Kbça vs Clive | 18–19 | 48.65% |
| Kbça vs Yoshimitsu | 13–20 | 39.39% |
| Kbça vs Lars | 8–20 | 28.57% |
| Kbça vs Jun | 10–18 | 35.71% |
| Kbça vs Anna | 13–15 | 46.43% |
| Kbça vs Alisa | 10–17 | 37.04% |
| Kbça vs Jack-8 | 13–13 | 50.00% |
| Kbça vs Leroy | 15–10 | 60.00% |
| Kbça vs Devil Jin | 13–11 | 54.17% |
| Kbça vs Nina | 10–13 | 43.48% |
| Kbça vs Lidia | 9–13 | 40.91% |
| Kbça vs Lee | 10–10 | 50.00% |
| Kbça vs Leo | 4–12 | 25.00% |
| Kbça vs Feng | 7–6 | 53.85% |
| Kbça vs Kuma | 2–9 | 18.18% |
| Kbça vs Claudio | 3–7 | 30.00% |
| Kbça vs Raven | 4–5 | 44.44% |
| Kbça vs Shaheen | 5–2 | 71.43% |
| Kbça vs Panda | 4–3 | 57.14% |
| Kbça vs Zafina | 4–3 | 57.14% |
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.