| Taca Kawaii vs Dragunov | 7–17 | 29.17% |
| Taca Kawaii vs Reina | 11–13 | 45.83% |
| Taca Kawaii vs Steve | 14–8 | 63.64% |
| Taca Kawaii vs Heihachi | 7–14 | 33.33% |
| Taca Kawaii vs Jin | 4–16 | 20.00% |
| Taca Kawaii vs Law | 9–10 | 47.37% |
| Taca Kawaii vs Lili | 2–16 | 11.11% |
| Taca Kawaii vs King | 5–11 | 31.25% |
| Taca Kawaii vs Hwoarang | 6–9 | 40.00% |
| Taca Kawaii vs Jun | 9–6 | 60.00% |
| Taca Kawaii vs Lars | 3–11 | 21.43% |
| Taca Kawaii vs Bryan | 5–8 | 38.46% |
| Taca Kawaii vs Kazuya | 3–8 | 27.27% |
| Taca Kawaii vs Paul | 3–6 | 33.33% |
| Taca Kawaii vs Yoshimitsu | 3–6 | 33.33% |
| Taca Kawaii vs Alisa | 4–5 | 44.44% |
| Taca Kawaii vs Raven | 4–5 | 44.44% |
| Taca Kawaii vs Asuka | 3–5 | 37.50% |
| Taca Kawaii vs Kuma | 2–6 | 25.00% |
| Taca Kawaii vs Devil Jin | 2–4 | 33.33% |
| Taca Kawaii vs Zafina | 1–5 | 16.67% |
| Taca Kawaii vs Lidia | 3–3 | 50.00% |
| Taca Kawaii vs Xiaoyu | 1–3 | 25.00% |
| Taca Kawaii vs Feng | 0–4 | 0.00% |
| Taca Kawaii vs Azucena | 2–2 | 50.00% |
| Taca Kawaii vs Shaheen | 2–1 | 66.67% |
| Taca Kawaii vs Nina | 1–2 | 33.33% |
| Taca Kawaii vs Lee | 0–3 | 0.00% |
| Taca Kawaii vs Eddy | 2–1 | 66.67% |
| Taca Kawaii vs Jack-8 | 0–2 | 0.00% |
| Taca Kawaii vs Claudio | 0–2 | 0.00% |
| Taca Kawaii vs Victor | 2–0 | 100.00% |
| Taca Kawaii vs Leroy | 0–1 | 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.