| Kinogassa__m vs Kazuya | 141–83 | 62.95% |
| Kinogassa__m vs Jin | 165–53 | 75.69% |
| Kinogassa__m vs Hwoarang | 119–51 | 70.00% |
| Kinogassa__m vs Lee | 118–52 | 69.41% |
| Kinogassa__m vs Yoshimitsu | 114–54 | 67.86% |
| Kinogassa__m vs King | 112–51 | 68.71% |
| Kinogassa__m vs Dragunov | 98–54 | 64.47% |
| Kinogassa__m vs Steve | 80–66 | 54.79% |
| Kinogassa__m vs Reina | 98–39 | 71.53% |
| Kinogassa__m vs Xiaoyu | 109–27 | 80.15% |
| Kinogassa__m vs Bryan | 94–37 | 71.76% |
| Kinogassa__m vs Devil Jin | 89–40 | 68.99% |
| Kinogassa__m vs Law | 81–35 | 69.83% |
| Kinogassa__m vs Lili | 87–27 | 76.32% |
| Kinogassa__m vs Lars | 62–49 | 55.86% |
| Kinogassa__m vs Azucena | 73–37 | 66.36% |
| Kinogassa__m vs Leroy | 74–30 | 71.15% |
| Kinogassa__m vs Shaheen | 69–32 | 68.32% |
| Kinogassa__m vs Nina | 66–33 | 66.67% |
| Kinogassa__m vs Asuka | 65–32 | 67.01% |
| Kinogassa__m vs Victor | 74–20 | 78.72% |
| Kinogassa__m vs Jack-8 | 52–35 | 59.77% |
| Kinogassa__m vs Eddy | 60–26 | 69.77% |
| Kinogassa__m vs Feng | 56–29 | 65.88% |
| Kinogassa__m vs Kuma | 64–18 | 78.05% |
| Kinogassa__m vs Alisa | 57–21 | 73.08% |
| Kinogassa__m vs Jun | 44–34 | 56.41% |
| Kinogassa__m vs Raven | 55–20 | 73.33% |
| Kinogassa__m vs Paul | 46–24 | 65.71% |
| Kinogassa__m vs Zafina | 50–19 | 72.46% |
| Kinogassa__m vs Heihachi | 42–26 | 61.76% |
| Kinogassa__m vs Leo | 41–21 | 66.13% |
| Kinogassa__m vs Claudio | 38–6 | 86.36% |
| Kinogassa__m vs Panda | 17–13 | 56.67% |
| Kinogassa__m vs Lidia | 16–13 | 55.17% |
| Kinogassa__m vs Clive | 20–6 | 76.92% |
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.