| Tachibana vs Hwoarang | 59–47 | 55.66% |
| Tachibana vs King | 52–42 | 55.32% |
| Tachibana vs Jin | 41–33 | 55.41% |
| Tachibana vs Law | 32–41 | 43.84% |
| Tachibana vs Kazuya | 43–30 | 58.90% |
| Tachibana vs Bryan | 31–40 | 43.66% |
| Tachibana vs Reina | 27–40 | 40.30% |
| Tachibana vs Jun | 31–28 | 52.54% |
| Tachibana vs Dragunov | 33–24 | 57.89% |
| Tachibana vs Lee | 27–30 | 47.37% |
| Tachibana vs Lars | 23–31 | 42.59% |
| Tachibana vs Azucena | 18–35 | 33.96% |
| Tachibana vs Steve | 24–25 | 48.98% |
| Tachibana vs Xiaoyu | 22–24 | 47.83% |
| Tachibana vs Victor | 20–26 | 43.48% |
| Tachibana vs Paul | 20–25 | 44.44% |
| Tachibana vs Eddy | 11–34 | 24.44% |
| Tachibana vs Lili | 22–22 | 50.00% |
| Tachibana vs Feng | 18–24 | 42.86% |
| Tachibana vs Yoshimitsu | 21–19 | 52.50% |
| Tachibana vs Asuka | 19–21 | 47.50% |
| Tachibana vs Nina | 19–17 | 52.78% |
| Tachibana vs Raven | 18–18 | 50.00% |
| Tachibana vs Devil Jin | 9–22 | 29.03% |
| Tachibana vs Jack-8 | 16–9 | 64.00% |
| Tachibana vs Leo | 12–11 | 52.17% |
| Tachibana vs Alisa | 5–17 | 22.73% |
| Tachibana vs Zafina | 10–11 | 47.62% |
| Tachibana vs Heihachi | 6–10 | 37.50% |
| Tachibana vs Leroy | 5–9 | 35.71% |
| Tachibana vs Claudio | 3–9 | 25.00% |
| Tachibana vs Kuma | 4–7 | 36.36% |
| Tachibana vs Lidia | 6–4 | 60.00% |
| Tachibana vs Armor King | 6–3 | 66.67% |
| Tachibana vs Anna | 3–3 | 50.00% |
| Tachibana vs Clive | 1–4 | 20.00% |
| Tachibana vs Fahkumram | 4–1 | 80.00% |
| Tachibana vs Shaheen | 3–1 | 75.00% |
| Tachibana vs Miary Zo | 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.