| arcx97531 vs Kazuya | 169–117 | 59.09% |
| arcx97531 vs Dragunov | 161–104 | 60.75% |
| arcx97531 vs Hwoarang | 128–98 | 56.64% |
| arcx97531 vs Bryan | 123–96 | 56.16% |
| arcx97531 vs Jin | 103–110 | 48.36% |
| arcx97531 vs Paul | 120–83 | 59.11% |
| arcx97531 vs Reina | 91–86 | 51.41% |
| arcx97531 vs King | 106–66 | 61.63% |
| arcx97531 vs Steve | 84–85 | 49.70% |
| arcx97531 vs Asuka | 97–65 | 59.88% |
| arcx97531 vs Jack-8 | 83–53 | 61.03% |
| arcx97531 vs Lili | 80–49 | 62.02% |
| arcx97531 vs Heihachi | 69–55 | 55.65% |
| arcx97531 vs Devil Jin | 53–69 | 43.44% |
| arcx97531 vs Claudio | 69–53 | 56.56% |
| arcx97531 vs Victor | 51–71 | 41.80% |
| arcx97531 vs Yoshimitsu | 74–45 | 62.18% |
| arcx97531 vs Law | 66–49 | 57.39% |
| arcx97531 vs Feng | 50–54 | 48.08% |
| arcx97531 vs Nina | 62–42 | 59.62% |
| arcx97531 vs Lee | 56–46 | 54.90% |
| arcx97531 vs Lars | 41–57 | 41.84% |
| arcx97531 vs Leroy | 48–46 | 51.06% |
| arcx97531 vs Eddy | 39–51 | 43.33% |
| arcx97531 vs Azucena | 46–42 | 52.27% |
| arcx97531 vs Jun | 43–38 | 53.09% |
| arcx97531 vs Shaheen | 33–40 | 45.21% |
| arcx97531 vs Armor King | 32–39 | 45.07% |
| arcx97531 vs Alisa | 36–33 | 52.17% |
| arcx97531 vs Lidia | 33–30 | 52.38% |
| arcx97531 vs Xiaoyu | 29–32 | 47.54% |
| arcx97531 vs Leo | 24–31 | 43.64% |
| arcx97531 vs Raven | 24–30 | 44.44% |
| arcx97531 vs Fahkumram | 29–24 | 54.72% |
| arcx97531 vs Miary Zo | 22–31 | 41.51% |
| arcx97531 vs Kuma | 25–25 | 50.00% |
| arcx97531 vs Zafina | 13–21 | 38.24% |
| arcx97531 vs Clive | 11–18 | 37.93% |
| arcx97531 vs Anna | 6–13 | 31.58% |
| arcx97531 vs Panda | 6–10 | 37.50% |
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.