| LBLB vs Kazuya | 97–87 | 52.72% |
| LBLB vs Armor King | 69–68 | 50.36% |
| LBLB vs Jin | 60–75 | 44.44% |
| LBLB vs Dragunov | 70–60 | 53.85% |
| LBLB vs Paul | 75–54 | 58.14% |
| LBLB vs Bryan | 67–53 | 55.83% |
| LBLB vs King | 48–64 | 42.86% |
| LBLB vs Asuka | 38–61 | 38.38% |
| LBLB vs Lili | 45–46 | 49.45% |
| LBLB vs Fahkumram | 30–60 | 33.33% |
| LBLB vs Reina | 42–45 | 48.28% |
| LBLB vs Heihachi | 40–45 | 47.06% |
| LBLB vs Steve | 44–40 | 52.38% |
| LBLB vs Hwoarang | 38–42 | 47.50% |
| LBLB vs Law | 47–31 | 60.26% |
| LBLB vs Jun | 34–24 | 58.62% |
| LBLB vs Devil Jin | 14–33 | 29.79% |
| LBLB vs Anna | 18–29 | 38.30% |
| LBLB vs Yoshimitsu | 18–28 | 39.13% |
| LBLB vs Nina | 19–21 | 47.50% |
| LBLB vs Alisa | 18–20 | 47.37% |
| LBLB vs Claudio | 21–16 | 56.76% |
| LBLB vs Shaheen | 22–13 | 62.86% |
| LBLB vs Victor | 8–27 | 22.86% |
| LBLB vs Xiaoyu | 11–20 | 35.48% |
| LBLB vs Leroy | 15–16 | 48.39% |
| LBLB vs Eddy | 14–17 | 45.16% |
| LBLB vs Clive | 13–15 | 46.43% |
| LBLB vs Lee | 14–13 | 51.85% |
| LBLB vs Lidia | 11–15 | 42.31% |
| LBLB vs Lars | 5–19 | 20.83% |
| LBLB vs Azucena | 9–15 | 37.50% |
| LBLB vs Leo | 13–9 | 59.09% |
| LBLB vs Feng | 9–11 | 45.00% |
| LBLB vs Jack-8 | 7–11 | 38.89% |
| LBLB vs Zafina | 7–7 | 50.00% |
| LBLB vs Raven | 6–7 | 46.15% |
| LBLB vs Kuma | 5–6 | 45.45% |
| LBLB vs Panda | 4–5 | 44.44% |
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.