| lilmxo vs Jin | 96–84 | 53.33% |
| lilmxo vs King | 84–64 | 56.76% |
| lilmxo vs Kazuya | 82–66 | 55.41% |
| lilmxo vs Hwoarang | 70–76 | 47.95% |
| lilmxo vs Dragunov | 81–59 | 57.86% |
| lilmxo vs Bryan | 77–53 | 59.23% |
| lilmxo vs Law | 56–58 | 49.12% |
| lilmxo vs Yoshimitsu | 59–45 | 56.73% |
| lilmxo vs Steve | 58–44 | 56.86% |
| lilmxo vs Feng | 47–53 | 47.00% |
| lilmxo vs Paul | 55–42 | 56.70% |
| lilmxo vs Lee | 53–39 | 57.61% |
| lilmxo vs Reina | 39–48 | 44.83% |
| lilmxo vs Lili | 28–53 | 34.57% |
| lilmxo vs Devil Jin | 50–29 | 63.29% |
| lilmxo vs Lars | 42–30 | 58.33% |
| lilmxo vs Nina | 34–33 | 50.75% |
| lilmxo vs Alisa | 26–38 | 40.62% |
| lilmxo vs Eddy | 25–38 | 39.68% |
| lilmxo vs Victor | 31–31 | 50.00% |
| lilmxo vs Jun | 24–35 | 40.68% |
| lilmxo vs Asuka | 29–28 | 50.88% |
| lilmxo vs Heihachi | 33–20 | 62.26% |
| lilmxo vs Jack-8 | 23–17 | 57.50% |
| lilmxo vs Azucena | 21–19 | 52.50% |
| lilmxo vs Claudio | 16–18 | 47.06% |
| lilmxo vs Shaheen | 15–17 | 46.88% |
| lilmxo vs Kuma | 13–16 | 44.83% |
| lilmxo vs Zafina | 9–15 | 37.50% |
| lilmxo vs Leo | 10–10 | 50.00% |
| lilmxo vs Xiaoyu | 4–15 | 21.05% |
| lilmxo vs Leroy | 13–6 | 68.42% |
| lilmxo vs Raven | 5–12 | 29.41% |
| lilmxo vs Lidia | 5–8 | 38.46% |
| lilmxo vs Clive | 6–3 | 66.67% |
| lilmxo vs Panda | 2–3 | 40.00% |
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.