| takigawaUkino vs Reina | 38–37 | 50.67% |
| takigawaUkino vs King | 29–31 | 48.33% |
| takigawaUkino vs Jin | 20–34 | 37.04% |
| takigawaUkino vs Kazuya | 19–27 | 41.30% |
| takigawaUkino vs Hwoarang | 11–28 | 28.21% |
| takigawaUkino vs Lili | 18–18 | 50.00% |
| takigawaUkino vs Bryan | 13–22 | 37.14% |
| takigawaUkino vs Victor | 16–18 | 47.06% |
| takigawaUkino vs Law | 11–20 | 35.48% |
| takigawaUkino vs Lidia | 12–19 | 38.71% |
| takigawaUkino vs Eddy | 2–27 | 6.90% |
| takigawaUkino vs Asuka | 8–17 | 32.00% |
| takigawaUkino vs Dragunov | 14–11 | 56.00% |
| takigawaUkino vs Lars | 6–17 | 26.09% |
| takigawaUkino vs Paul | 2–19 | 9.52% |
| takigawaUkino vs Alisa | 8–13 | 38.10% |
| takigawaUkino vs Yoshimitsu | 7–13 | 35.00% |
| takigawaUkino vs Azucena | 12–8 | 60.00% |
| takigawaUkino vs Nina | 7–12 | 36.84% |
| takigawaUkino vs Lee | 9–10 | 47.37% |
| takigawaUkino vs Jun | 6–12 | 33.33% |
| takigawaUkino vs Steve | 6–8 | 42.86% |
| takigawaUkino vs Feng | 6–8 | 42.86% |
| takigawaUkino vs Claudio | 5–9 | 35.71% |
| takigawaUkino vs Leroy | 6–8 | 42.86% |
| takigawaUkino vs Xiaoyu | 3–9 | 25.00% |
| takigawaUkino vs Devil Jin | 6–5 | 54.55% |
| takigawaUkino vs Jack-8 | 4–5 | 44.44% |
| takigawaUkino vs Leo | 2–6 | 25.00% |
| takigawaUkino vs Raven | 2–6 | 25.00% |
| takigawaUkino vs Armor King | 4–4 | 50.00% |
| takigawaUkino vs Kuma | 3–2 | 60.00% |
| takigawaUkino vs Zafina | 2–3 | 40.00% |
| takigawaUkino vs Heihachi | 3–2 | 60.00% |
| takigawaUkino vs Shaheen | 1–2 | 33.33% |
| takigawaUkino 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.