| LOb0 vs Jin | 184–139 | 56.97% |
| LOb0 vs Bryan | 176–146 | 54.66% |
| LOb0 vs King | 154–165 | 48.28% |
| LOb0 vs Kazuya | 189–111 | 63.00% |
| LOb0 vs Dragunov | 139–133 | 51.10% |
| LOb0 vs Reina | 152–108 | 58.46% |
| LOb0 vs Law | 152–103 | 59.61% |
| LOb0 vs Yoshimitsu | 142–113 | 55.69% |
| LOb0 vs Steve | 125–129 | 49.21% |
| LOb0 vs Hwoarang | 139–114 | 54.94% |
| LOb0 vs Lili | 127–92 | 57.99% |
| LOb0 vs Lars | 106–111 | 48.85% |
| LOb0 vs Lee | 117–88 | 57.07% |
| LOb0 vs Devil Jin | 98–85 | 53.55% |
| LOb0 vs Paul | 108–68 | 61.36% |
| LOb0 vs Azucena | 98–71 | 57.99% |
| LOb0 vs Nina | 86–59 | 59.31% |
| LOb0 vs Jun | 80–62 | 56.34% |
| LOb0 vs Xiaoyu | 84–55 | 60.43% |
| LOb0 vs Feng | 76–62 | 55.07% |
| LOb0 vs Raven | 71–65 | 52.21% |
| LOb0 vs Heihachi | 70–61 | 53.44% |
| LOb0 vs Asuka | 71–58 | 55.04% |
| LOb0 vs Jack-8 | 67–61 | 52.34% |
| LOb0 vs Victor | 60–56 | 51.72% |
| LOb0 vs Eddy | 60–52 | 53.57% |
| LOb0 vs Clive | 60–46 | 56.60% |
| LOb0 vs Alisa | 53–51 | 50.96% |
| LOb0 vs Lidia | 48–47 | 50.53% |
| LOb0 vs Leo | 45–48 | 48.39% |
| LOb0 vs Claudio | 58–32 | 64.44% |
| LOb0 vs Leroy | 47–43 | 52.22% |
| LOb0 vs Kuma | 48–40 | 54.55% |
| LOb0 vs Fahkumram | 52–32 | 61.90% |
| LOb0 vs Shaheen | 36–46 | 43.90% |
| LOb0 vs Anna | 29–31 | 48.33% |
| LOb0 vs Zafina | 24–31 | 43.64% |
| LOb0 vs Panda | 16–22 | 42.11% |
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.