| KatyoXion vs Dragunov | 117–139 | 45.70% |
| KatyoXion vs Hwoarang | 112–141 | 44.27% |
| KatyoXion vs Paul | 135–97 | 58.19% |
| KatyoXion vs King | 128–100 | 56.14% |
| KatyoXion vs Kazuya | 132–83 | 61.40% |
| KatyoXion vs Jin | 112–94 | 54.37% |
| KatyoXion vs Bryan | 100–102 | 49.50% |
| KatyoXion vs Reina | 101–82 | 55.19% |
| KatyoXion vs Law | 89–78 | 53.29% |
| KatyoXion vs Lidia | 84–72 | 53.85% |
| KatyoXion vs Yoshimitsu | 75–75 | 50.00% |
| KatyoXion vs Heihachi | 74–61 | 54.81% |
| KatyoXion vs Lili | 69–58 | 54.33% |
| KatyoXion vs Steve | 70–56 | 55.56% |
| KatyoXion vs Asuka | 71–54 | 56.80% |
| KatyoXion vs Lars | 62–60 | 50.82% |
| KatyoXion vs Armor King | 65–53 | 55.08% |
| KatyoXion vs Victor | 55–57 | 49.11% |
| KatyoXion vs Jun | 75–30 | 71.43% |
| KatyoXion vs Xiaoyu | 55–42 | 56.70% |
| KatyoXion vs Jack-8 | 45–51 | 46.88% |
| KatyoXion vs Nina | 41–55 | 42.71% |
| KatyoXion vs Alisa | 50–45 | 52.63% |
| KatyoXion vs Azucena | 52–43 | 54.74% |
| KatyoXion vs Leo | 43–50 | 46.24% |
| KatyoXion vs Fahkumram | 48–45 | 51.61% |
| KatyoXion vs Feng | 42–49 | 46.15% |
| KatyoXion vs Claudio | 48–40 | 54.55% |
| KatyoXion vs Devil Jin | 42–45 | 48.28% |
| KatyoXion vs Eddy | 37–48 | 43.53% |
| KatyoXion vs Anna | 39–36 | 52.00% |
| KatyoXion vs Clive | 36–36 | 50.00% |
| KatyoXion vs Lee | 34–36 | 48.57% |
| KatyoXion vs Shaheen | 27–41 | 39.71% |
| KatyoXion vs Leroy | 38–30 | 55.88% |
| KatyoXion vs Raven | 26–28 | 48.15% |
| KatyoXion vs Zafina | 19–27 | 41.30% |
| KatyoXion vs Kuma | 25–15 | 62.50% |
| KatyoXion vs Panda | 15–7 | 68.18% |
| KatyoXion vs Miary Zo | 12–4 | 75.00% |
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.