| Libels vs Kazuya | 390–417 | 48.33% |
| Libels vs Jin | 291–301 | 49.16% |
| Libels vs Hwoarang | 279–291 | 48.95% |
| Libels vs Bryan | 246–296 | 45.39% |
| Libels vs King | 272–256 | 51.52% |
| Libels vs Heihachi | 213–288 | 42.51% |
| Libels vs Steve | 239–216 | 52.53% |
| Libels vs Law | 212–230 | 47.96% |
| Libels vs Lili | 211–188 | 52.88% |
| Libels vs Reina | 174–223 | 43.83% |
| Libels vs Yoshimitsu | 217–165 | 56.81% |
| Libels vs Paul | 197–178 | 52.53% |
| Libels vs Dragunov | 135–169 | 44.41% |
| Libels vs Armor King | 130–150 | 46.43% |
| Libels vs Devil Jin | 109–144 | 43.08% |
| Libels vs Lee | 114–138 | 45.24% |
| Libels vs Xiaoyu | 131–104 | 55.74% |
| Libels vs Asuka | 123–105 | 53.95% |
| Libels vs Lars | 79–126 | 38.54% |
| Libels vs Jun | 87–114 | 43.28% |
| Libels vs Alisa | 102–97 | 51.26% |
| Libels vs Eddy | 114–78 | 59.38% |
| Libels vs Azucena | 93–95 | 49.47% |
| Libels vs Nina | 70–104 | 40.23% |
| Libels vs Feng | 85–82 | 50.90% |
| Libels vs Victor | 68–92 | 42.50% |
| Libels vs Clive | 69–79 | 46.62% |
| Libels vs Anna | 72–76 | 48.65% |
| Libels vs Claudio | 62–77 | 44.60% |
| Libels vs Fahkumram | 73–65 | 52.90% |
| Libels vs Leo | 46–66 | 41.07% |
| Libels vs Raven | 56–56 | 50.00% |
| Libels vs Lidia | 46–66 | 41.07% |
| Libels vs Leroy | 48–59 | 44.86% |
| Libels vs Jack-8 | 47–54 | 46.53% |
| Libels vs Zafina | 21–37 | 36.21% |
| Libels vs Miary Zo | 26–27 | 49.06% |
| Libels vs Kuma | 19–29 | 39.58% |
| Libels vs Shaheen | 16–23 | 41.03% |
| Libels vs Panda | 12–13 | 48.00% |
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.