| kenyh_ vs Bryan | 211–186 | 53.15% |
| kenyh_ vs Jin | 198–170 | 53.80% |
| kenyh_ vs Kazuya | 202–166 | 54.89% |
| kenyh_ vs Dragunov | 167–176 | 48.69% |
| kenyh_ vs King | 155–126 | 55.16% |
| kenyh_ vs Law | 121–108 | 52.84% |
| kenyh_ vs Devil Jin | 119–106 | 52.89% |
| kenyh_ vs Paul | 100–124 | 44.64% |
| kenyh_ vs Lili | 120–94 | 56.07% |
| kenyh_ vs Reina | 103–110 | 48.36% |
| kenyh_ vs Victor | 117–95 | 55.19% |
| kenyh_ vs Asuka | 116–91 | 56.04% |
| kenyh_ vs Lee | 98–100 | 49.49% |
| kenyh_ vs Yoshimitsu | 103–91 | 53.09% |
| kenyh_ vs Hwoarang | 86–100 | 46.24% |
| kenyh_ vs Heihachi | 101–85 | 54.30% |
| kenyh_ vs Steve | 80–102 | 43.96% |
| kenyh_ vs Jun | 91–88 | 50.84% |
| kenyh_ vs Feng | 80–98 | 44.94% |
| kenyh_ vs Lidia | 83–71 | 53.90% |
| kenyh_ vs Lars | 69–78 | 46.94% |
| kenyh_ vs Nina | 73–67 | 52.14% |
| kenyh_ vs Leroy | 63–70 | 47.37% |
| kenyh_ vs Leo | 61–49 | 55.45% |
| kenyh_ vs Claudio | 52–54 | 49.06% |
| kenyh_ vs Jack-8 | 43–61 | 41.35% |
| kenyh_ vs Shaheen | 58–46 | 55.77% |
| kenyh_ vs Alisa | 49–50 | 49.49% |
| kenyh_ vs Xiaoyu | 47–44 | 51.65% |
| kenyh_ vs Clive | 24–65 | 26.97% |
| kenyh_ vs Raven | 45–36 | 55.56% |
| kenyh_ vs Zafina | 37–42 | 46.84% |
| kenyh_ vs Azucena | 27–52 | 34.18% |
| kenyh_ vs Eddy | 26–45 | 36.62% |
| kenyh_ vs Kuma | 28–27 | 50.91% |
| kenyh_ vs Panda | 26–24 | 52.00% |
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.