| Kitsch vs Jin | 16–27 | 37.21% |
| Kitsch vs Bryan | 12–31 | 27.91% |
| Kitsch vs Steve | 19–23 | 45.24% |
| Kitsch vs Dragunov | 13–29 | 30.95% |
| Kitsch vs Kazuya | 19–18 | 51.35% |
| Kitsch vs Yoshimitsu | 13–18 | 41.94% |
| Kitsch vs King | 6–23 | 20.69% |
| Kitsch vs Reina | 17–12 | 58.62% |
| Kitsch vs Heihachi | 10–16 | 38.46% |
| Kitsch vs Asuka | 12–13 | 48.00% |
| Kitsch vs Xiaoyu | 12–9 | 57.14% |
| Kitsch vs Law | 5–15 | 25.00% |
| Kitsch vs Lili | 13–7 | 65.00% |
| Kitsch vs Devil Jin | 9–10 | 47.37% |
| Kitsch vs Victor | 9–10 | 47.37% |
| Kitsch vs Lidia | 8–11 | 42.11% |
| Kitsch vs Clive | 11–8 | 57.89% |
| Kitsch vs Paul | 8–8 | 50.00% |
| Kitsch vs Nina | 8–8 | 50.00% |
| Kitsch vs Azucena | 5–10 | 33.33% |
| Kitsch vs Lee | 7–7 | 50.00% |
| Kitsch vs Lars | 8–5 | 61.54% |
| Kitsch vs Alisa | 2–10 | 16.67% |
| Kitsch vs Hwoarang | 5–6 | 45.45% |
| Kitsch vs Fahkumram | 1–10 | 9.09% |
| Kitsch vs Kuma | 6–3 | 66.67% |
| Kitsch vs Jack-8 | 4–4 | 50.00% |
| Kitsch vs Feng | 4–3 | 57.14% |
| Kitsch vs Raven | 1–5 | 16.67% |
| Kitsch vs Claudio | 3–2 | 60.00% |
| Kitsch vs Leroy | 1–4 | 20.00% |
| Kitsch vs Leo | 2–1 | 66.67% |
| Kitsch vs Armor King | 1–2 | 33.33% |
| Kitsch vs Shaheen | 2–0 | 100.00% |
| Kitsch vs Zafina | 0–2 | 0.00% |
| Kitsch vs Jun | 0–2 | 0.00% |
| Kitsch vs Eddy | 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.