| kakarotto_ui vs King | 23–3 | 88.46% |
| kakarotto_ui vs Reina | 22–3 | 88.00% |
| kakarotto_ui vs Jin | 19–4 | 82.61% |
| kakarotto_ui vs Hwoarang | 15–1 | 93.75% |
| kakarotto_ui vs Dragunov | 10–6 | 62.50% |
| kakarotto_ui vs Eddy | 9–7 | 56.25% |
| kakarotto_ui vs Lee | 12–3 | 80.00% |
| kakarotto_ui vs Yoshimitsu | 10–4 | 71.43% |
| kakarotto_ui vs Kazuya | 13–1 | 92.86% |
| kakarotto_ui vs Feng | 8–4 | 66.67% |
| kakarotto_ui vs Lili | 9–3 | 75.00% |
| kakarotto_ui vs Asuka | 10–1 | 90.91% |
| kakarotto_ui vs Alisa | 7–4 | 63.64% |
| kakarotto_ui vs Azucena | 11–0 | 100.00% |
| kakarotto_ui vs Victor | 8–3 | 72.73% |
| kakarotto_ui vs Lars | 7–1 | 87.50% |
| kakarotto_ui vs Steve | 7–0 | 100.00% |
| kakarotto_ui vs Devil Jin | 4–3 | 57.14% |
| kakarotto_ui vs Paul | 6–0 | 100.00% |
| kakarotto_ui vs Law | 6–0 | 100.00% |
| kakarotto_ui vs Bryan | 4–2 | 66.67% |
| kakarotto_ui vs Leroy | 5–1 | 83.33% |
| kakarotto_ui vs Xiaoyu | 4–1 | 80.00% |
| kakarotto_ui vs Leo | 4–1 | 80.00% |
| kakarotto_ui vs Kuma | 5–0 | 100.00% |
| kakarotto_ui vs Jun | 3–2 | 60.00% |
| kakarotto_ui vs Nina | 4–0 | 100.00% |
| kakarotto_ui vs Claudio | 0–3 | 0.00% |
| kakarotto_ui vs Raven | 2–0 | 100.00% |
| kakarotto_ui vs Lidia | 2–0 | 100.00% |
| kakarotto_ui vs Heihachi | 2–0 | 100.00% |
| kakarotto_ui vs Jack-8 | 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.