| Cat5scar vs King | 139–198 | 41.25% |
| Cat5scar vs Kazuya | 134–198 | 40.36% |
| Cat5scar vs Jin | 145–185 | 43.94% |
| Cat5scar vs Reina | 92–203 | 31.19% |
| Cat5scar vs Eddy | 60–191 | 23.90% |
| Cat5scar vs Steve | 96–153 | 38.55% |
| Cat5scar vs Bryan | 67–161 | 29.39% |
| Cat5scar vs Hwoarang | 123–98 | 55.66% |
| Cat5scar vs Law | 68–130 | 34.34% |
| Cat5scar vs Dragunov | 41–152 | 21.24% |
| Cat5scar vs Lidia | 67–111 | 37.64% |
| Cat5scar vs Asuka | 63–110 | 36.42% |
| Cat5scar vs Azucena | 55–118 | 31.79% |
| Cat5scar vs Nina | 50–103 | 32.68% |
| Cat5scar vs Lili | 54–96 | 36.00% |
| Cat5scar vs Paul | 49–98 | 33.33% |
| Cat5scar vs Victor | 53–93 | 36.30% |
| Cat5scar vs Yoshimitsu | 43–91–1 | 32.09% |
| Cat5scar vs Jun | 35–97 | 26.52% |
| Cat5scar vs Lars | 41–85 | 32.54% |
| Cat5scar vs Xiaoyu | 42–81 | 34.15% |
| Cat5scar vs Lee | 33–74 | 30.84% |
| Cat5scar vs Devil Jin | 29–72 | 28.71% |
| Cat5scar vs Leo | 22–74 | 22.92% |
| Cat5scar vs Leroy | 25–67 | 27.17% |
| Cat5scar vs Claudio | 18–68 | 20.93% |
| Cat5scar vs Jack-8 | 19–64 | 22.89% |
| Cat5scar vs Raven | 25–52 | 32.47% |
| Cat5scar vs Clive | 25–47 | 34.72% |
| Cat5scar vs Alisa | 18–52 | 25.71% |
| Cat5scar vs Feng | 22–46–1 | 32.35% |
| Cat5scar vs Zafina | 15–46 | 24.59% |
| Cat5scar vs Kuma | 20–39 | 33.90% |
| Cat5scar vs Shaheen | 16–35 | 31.37% |
| Cat5scar vs Heihachi | 10–21 | 32.26% |
| Cat5scar vs Panda | 8–16 | 33.33% |
| Cat5scar vs Fahkumram | 6–5 | 54.55% |
| Cat5scar vs Anna | 3–6 | 33.33% |
| Cat5scar vs Armor King | 2–6 | 25.00% |
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.