| Tekken_Buddha vs Reina | 10–11 | 47.62% |
| Tekken_Buddha vs Kazuya | 8–11 | 42.11% |
| Tekken_Buddha vs Claudio | 7–10 | 41.18% |
| Tekken_Buddha vs Clive | 4–13 | 23.53% |
| Tekken_Buddha vs Asuka | 5–8 | 38.46% |
| Tekken_Buddha vs Lili | 4–9 | 30.77% |
| Tekken_Buddha vs Jin | 5–7 | 41.67% |
| Tekken_Buddha vs Dragunov | 2–10 | 16.67% |
| Tekken_Buddha vs Paul | 2–8 | 20.00% |
| Tekken_Buddha vs Nina | 6–4 | 60.00% |
| Tekken_Buddha vs Panda | 2–7 | 22.22% |
| Tekken_Buddha vs Jun | 3–6 | 33.33% |
| Tekken_Buddha vs Hwoarang | 0–8 | 0.00% |
| Tekken_Buddha vs Lidia | 2–6 | 25.00% |
| Tekken_Buddha vs King | 0–7 | 0.00% |
| Tekken_Buddha vs Yoshimitsu | 6–1 | 85.71% |
| Tekken_Buddha vs Steve | 5–2 | 71.43% |
| Tekken_Buddha vs Azucena | 1–6 | 14.29% |
| Tekken_Buddha vs Devil Jin | 2–4 | 33.33% |
| Tekken_Buddha vs Heihachi | 2–4 | 33.33% |
| Tekken_Buddha vs Bryan | 2–3 | 40.00% |
| Tekken_Buddha vs Feng | 1–4 | 20.00% |
| Tekken_Buddha vs Victor | 4–1 | 80.00% |
| Tekken_Buddha vs Law | 0–4 | 0.00% |
| Tekken_Buddha vs Xiaoyu | 2–2 | 50.00% |
| Tekken_Buddha vs Lee | 2–2 | 50.00% |
| Tekken_Buddha vs Leo | 1–2 | 33.33% |
| Tekken_Buddha vs Lars | 1–2 | 33.33% |
| Tekken_Buddha vs Alisa | 2–1 | 66.67% |
| Tekken_Buddha vs Jack-8 | 2–0 | 100.00% |
| Tekken_Buddha vs Kuma | 0–2 | 0.00% |
| Tekken_Buddha vs Leroy | 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.