lilahegao vs King | 53–62 | 46.09% |
lilahegao vs Hwoarang | 46–58 | 44.23% |
lilahegao vs Dragunov | 49–49 | 50.00% |
lilahegao vs Lili | 53–41 | 56.38% |
lilahegao vs Reina | 48–46 | 51.06% |
lilahegao vs Jin | 46–45 | 50.55% |
lilahegao vs Bryan | 44–40 | 52.38% |
lilahegao vs Steve | 48–31 | 60.76% |
lilahegao vs Yoshimitsu | 32–45 | 41.56% |
lilahegao vs Victor | 31–38 | 44.93% |
lilahegao vs Asuka | 34–33 | 50.75% |
lilahegao vs Xiaoyu | 34–29 | 53.97% |
lilahegao vs Jack-8 | 34–28 | 54.84% |
lilahegao vs Nina | 32–29 | 52.46% |
lilahegao vs Law | 31–28 | 52.54% |
lilahegao vs Paul | 29–27 | 51.79% |
lilahegao vs Kazuya | 32–24 | 57.14% |
lilahegao vs Jun | 32–24 | 57.14% |
lilahegao vs Devil Jin | 24–28 | 46.15% |
lilahegao vs Lars | 35–17 | 67.31% |
lilahegao vs Leo | 26–23 | 53.06% |
lilahegao vs Claudio | 29–19 | 60.42% |
lilahegao vs Feng | 28–19 | 59.57% |
lilahegao vs Eddy | 22–23 | 48.89% |
lilahegao vs Alisa | 18–26 | 40.91% |
lilahegao vs Leroy | 26–18 | 59.09% |
lilahegao vs Azucena | 22–21 | 51.16% |
lilahegao vs Lee | 20–21 | 48.78% |
lilahegao vs Heihachi | 15–23 | 39.47% |
lilahegao vs Raven | 13–21 | 38.24% |
lilahegao vs Shaheen | 11–13 | 45.83% |
lilahegao vs Lidia | 6–14 | 30.00% |
lilahegao vs Kuma | 7–12 | 36.84% |
lilahegao vs Zafina | 7–12 | 36.84% |
lilahegao vs Panda | 4–5 | 44.44% |
lilahegao vs Clive | 4–3 | 57.14% |
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.