| lilbish vs Bryan | 166–154 | 51.88% |
| lilbish vs Reina | 138–141 | 49.46% |
| lilbish vs King | 126–149 | 45.82% |
| lilbish vs Kazuya | 125–149 | 45.62% |
| lilbish vs Jin | 103–113 | 47.69% |
| lilbish vs Steve | 114–94 | 54.81% |
| lilbish vs Hwoarang | 96–100 | 48.98% |
| lilbish vs Law | 76–105 | 41.99% |
| lilbish vs Lili | 92–89 | 50.83% |
| lilbish vs Lee | 85–79 | 51.83% |
| lilbish vs Dragunov | 93–67 | 58.13% |
| lilbish vs Yoshimitsu | 68–84 | 44.74% |
| lilbish vs Lidia | 67–83 | 44.67% |
| lilbish vs Azucena | 88–61 | 59.06% |
| lilbish vs Xiaoyu | 62–65 | 48.82% |
| lilbish vs Victor | 62–59 | 51.24% |
| lilbish vs Paul | 49–71 | 40.83% |
| lilbish vs Devil Jin | 59–60 | 49.58% |
| lilbish vs Lars | 48–70 | 40.68% |
| lilbish vs Jun | 60–54 | 52.63% |
| lilbish vs Asuka | 52–60 | 46.43% |
| lilbish vs Heihachi | 52–53 | 49.52% |
| lilbish vs Leo | 55–38 | 59.14% |
| lilbish vs Eddy | 33–50 | 39.76% |
| lilbish vs Alisa | 38–40 | 48.72% |
| lilbish vs Feng | 32–38 | 45.71% |
| lilbish vs Raven | 31–38 | 44.93% |
| lilbish vs Nina | 33–34 | 49.25% |
| lilbish vs Jack-8 | 27–36 | 42.86% |
| lilbish vs Leroy | 30–28 | 51.72% |
| lilbish vs Clive | 25–33 | 43.10% |
| lilbish vs Claudio | 14–36 | 28.00% |
| lilbish vs Shaheen | 19–28 | 40.43% |
| lilbish vs Kuma | 24–21 | 53.33% |
| lilbish vs Fahkumram | 22–17 | 56.41% |
| lilbish vs Anna | 17–18 | 48.57% |
| lilbish vs Zafina | 10–23 | 30.30% |
| lilbish vs Armor King | 17–15 | 53.12% |
| lilbish vs Panda | 6–13 | 31.58% |
| lilbish vs Miary Zo | 10–9 | 52.63% |
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.