| Kebab vs Kazuya | 73–102–1 | 41.71% |
| Kebab vs Reina | 65–92 | 41.40% |
| Kebab vs King | 75–80 | 48.39% |
| Kebab vs Jin | 69–81 | 46.00% |
| Kebab vs Steve | 66–71 | 48.18% |
| Kebab vs Hwoarang | 43–91 | 32.09% |
| Kebab vs Clive | 55–72 | 43.31% |
| Kebab vs Bryan | 52–74 | 41.27% |
| Kebab vs Dragunov | 48–69 | 41.03% |
| Kebab vs Heihachi | 41–61 | 40.20% |
| Kebab vs Law | 30–64 | 31.91% |
| Kebab vs Jun | 36–51 | 41.38% |
| Kebab vs Asuka | 35–48 | 42.17% |
| Kebab vs Lili | 30–51 | 37.04% |
| Kebab vs Yoshimitsu | 24–47 | 33.80% |
| Kebab vs Victor | 26–40 | 39.39% |
| Kebab vs Paul | 23–41 | 35.94% |
| Kebab vs Nina | 24–34 | 41.38% |
| Kebab vs Lee | 25–31 | 44.64% |
| Kebab vs Lars | 26–29 | 47.27% |
| Kebab vs Eddy | 26–28 | 48.15% |
| Kebab vs Azucena | 20–26 | 43.48% |
| Kebab vs Xiaoyu | 21–22 | 48.84% |
| Kebab vs Leo | 19–23 | 45.24% |
| Kebab vs Feng | 12–27 | 30.77% |
| Kebab vs Shaheen | 14–25 | 35.90% |
| Kebab vs Lidia | 20–16 | 55.56% |
| Kebab vs Jack-8 | 16–17 | 48.48% |
| Kebab vs Alisa | 10–22 | 31.25% |
| Kebab vs Raven | 9–22 | 29.03% |
| Kebab vs Devil Jin | 12–17 | 41.38% |
| Kebab vs Kuma | 6–22 | 21.43% |
| Kebab vs Anna | 7–15 | 31.82% |
| Kebab vs Claudio | 8–12 | 40.00% |
| Kebab vs Leroy | 5–12 | 29.41% |
| Kebab vs Zafina | 7–4 | 63.64% |
| Kebab vs Miary Zo | 3–7 | 30.00% |
| Kebab vs Panda | 0–4 | 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.