| Tukang Kibul vs Jin | 7–3 | 70.00% |
| Tukang Kibul vs Reina | 6–2 | 75.00% |
| Tukang Kibul vs Dragunov | 5–2 | 71.43% |
| Tukang Kibul vs Leo | 3–4 | 42.86% |
| Tukang Kibul vs Eddy | 4–3 | 57.14% |
| Tukang Kibul vs Devil Jin | 5–1 | 83.33% |
| Tukang Kibul vs Shaheen | 4–2 | 66.67% |
| Tukang Kibul vs King | 2–3 | 40.00% |
| Tukang Kibul vs Xiaoyu | 2–3 | 40.00% |
| Tukang Kibul vs Nina | 3–2 | 60.00% |
| Tukang Kibul vs Azucena | 4–1 | 80.00% |
| Tukang Kibul vs Lars | 0–4 | 0.00% |
| Tukang Kibul vs Law | 2–1 | 66.67% |
| Tukang Kibul vs Bryan | 3–0 | 100.00% |
| Tukang Kibul vs Feng | 1–2 | 33.33% |
| Tukang Kibul vs Yoshimitsu | 1–1 | 50.00% |
| Tukang Kibul vs Kazuya | 1–1 | 50.00% |
| Tukang Kibul vs Steve | 2–0 | 100.00% |
| Tukang Kibul vs Raven | 2–0 | 100.00% |
| Tukang Kibul vs Paul | 0–1 | 0.00% |
| Tukang Kibul vs Asuka | 0–1 | 0.00% |
| Tukang Kibul vs Kuma | 0–1 | 0.00% |
| Tukang Kibul vs Victor | 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.