| Taka vs Kazuya | 80–105 | 43.24% |
| Taka vs Jin | 72–97 | 42.60% |
| Taka vs Bryan | 72–83 | 46.45% |
| Taka vs King | 86–67 | 56.21% |
| Taka vs Reina | 91–50 | 64.54% |
| Taka vs Hwoarang | 76–61 | 55.47% |
| Taka vs Dragunov | 63–65 | 49.22% |
| Taka vs Heihachi | 60–60 | 50.00% |
| Taka vs Yoshimitsu | 56–53 | 51.38% |
| Taka vs Lee | 42–54 | 43.75% |
| Taka vs Law | 56–39 | 58.95% |
| Taka vs Paul | 59–35 | 62.77% |
| Taka vs Steve | 56–37 | 60.22% |
| Taka vs Lars | 49–44 | 52.69% |
| Taka vs Devil Jin | 47–44 | 51.65% |
| Taka vs Lili | 58–26 | 69.05% |
| Taka vs Asuka | 50–32 | 60.98% |
| Taka vs Xiaoyu | 42–29 | 59.15% |
| Taka vs Claudio | 33–36 | 47.83% |
| Taka vs Feng | 30–32 | 48.39% |
| Taka vs Nina | 29–30 | 49.15% |
| Taka vs Eddy | 30–23 | 56.60% |
| Taka vs Alisa | 29–23 | 55.77% |
| Taka vs Jun | 26–21 | 55.32% |
| Taka vs Raven | 29–18 | 61.70% |
| Taka vs Leroy | 22–23 | 48.89% |
| Taka vs Azucena | 20–22 | 47.62% |
| Taka vs Jack-8 | 21–18 | 53.85% |
| Taka vs Victor | 17–19 | 47.22% |
| Taka vs Leo | 13–22 | 37.14% |
| Taka vs Shaheen | 16–19 | 45.71% |
| Taka vs Clive | 12–15 | 44.44% |
| Taka vs Lidia | 8–15 | 34.78% |
| Taka vs Zafina | 7–14 | 33.33% |
| Taka vs Kuma | 9–11 | 45.00% |
| Taka vs Anna | 8–11 | 42.11% |
| Taka vs Panda | 3–6 | 33.33% |
| Taka vs Miary Zo | 1–2 | 33.33% |
| Taka vs Fahkumram | 0–2 | 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.