| RafaLc vs King | 342–392 | 46.59% |
| RafaLc vs Jin | 367–289 | 55.95% |
| RafaLc vs Hwoarang | 258–314 | 45.10% |
| RafaLc vs Kazuya | 271–256 | 51.42% |
| RafaLc vs Bryan | 259–201 | 56.30% |
| RafaLc vs Law | 206–207 | 49.88% |
| RafaLc vs Reina | 213–181 | 54.06% |
| RafaLc vs Eddy | 170–217 | 43.93% |
| RafaLc vs Heihachi | 188–197 | 48.83% |
| RafaLc vs Steve | 215–165 | 56.58% |
| RafaLc vs Lili | 159–219 | 42.06% |
| RafaLc vs Paul | 174–187 | 48.20% |
| RafaLc vs Dragunov | 157–204 | 43.49% |
| RafaLc vs Feng | 133–181 | 42.36% |
| RafaLc vs Nina | 130–163 | 44.37% |
| RafaLc vs Armor King | 125–152 | 45.13% |
| RafaLc vs Lars | 139–136 | 50.55% |
| RafaLc vs Asuka | 117–156 | 42.86% |
| RafaLc vs Azucena | 116–150 | 43.61% |
| RafaLc vs Xiaoyu | 112–151–1 | 42.59% |
| RafaLc vs Alisa | 101–146 | 40.89% |
| RafaLc vs Anna | 114–133 | 46.15% |
| RafaLc vs Fahkumram | 119–128 | 48.18% |
| RafaLc vs Yoshimitsu | 119–120 | 49.79% |
| RafaLc vs Jun | 89–136 | 39.56% |
| RafaLc vs Lidia | 103–116 | 47.03% |
| RafaLc vs Victor | 76–142 | 34.86% |
| RafaLc vs Leroy | 113–76 | 59.79% |
| RafaLc vs Clive | 80–102 | 43.96% |
| RafaLc vs Leo | 71–110 | 39.23% |
| RafaLc vs Devil Jin | 83–93 | 47.16% |
| RafaLc vs Jack-8 | 82–84 | 49.40% |
| RafaLc vs Lee | 72–77 | 48.32% |
| RafaLc vs Raven | 56–89 | 38.62% |
| RafaLc vs Miary Zo | 52–72 | 41.94% |
| RafaLc vs Claudio | 51–62 | 45.13% |
| RafaLc vs Zafina | 48–59 | 44.86% |
| RafaLc vs Kuma | 40–53 | 43.01% |
| RafaLc vs Shaheen | 34–44 | 43.59% |
| RafaLc vs Panda | 15–33 | 31.25% |
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.