mBRlegit vs Kazuya | 114–67 | 62.98% |
mBRlegit vs Jin | 76–64 | 54.29% |
mBRlegit vs King | 72–58 | 55.38% |
mBRlegit vs Dragunov | 49–52 | 48.51% |
mBRlegit vs Lee | 53–45 | 54.08% |
mBRlegit vs Reina | 57–40 | 58.76% |
mBRlegit vs Bryan | 59–37 | 61.46% |
mBRlegit vs Paul | 60–35 | 63.16% |
mBRlegit vs Steve | 53–38 | 58.24% |
mBRlegit vs Devil Jin | 42–46 | 47.73% |
mBRlegit vs Yoshimitsu | 50–29 | 63.29% |
mBRlegit vs Hwoarang | 50–29 | 63.29% |
mBRlegit vs Clive | 34–27 | 55.74% |
mBRlegit vs Law | 28–31 | 47.46% |
mBRlegit vs Heihachi | 40–19 | 67.80% |
mBRlegit vs Feng | 27–29 | 48.21% |
mBRlegit vs Kuma | 28–26 | 51.85% |
mBRlegit vs Claudio | 24–28 | 46.15% |
mBRlegit vs Leo | 22–29 | 43.14% |
mBRlegit vs Zafina | 30–18 | 62.50% |
mBRlegit vs Raven | 26–21 | 55.32% |
mBRlegit vs Asuka | 20–26 | 43.48% |
mBRlegit vs Victor | 26–17 | 60.47% |
mBRlegit vs Azucena | 23–19 | 54.76% |
mBRlegit vs Xiaoyu | 25–14 | 64.10% |
mBRlegit vs Alisa | 17–22 | 43.59% |
mBRlegit vs Lars | 16–22 | 42.11% |
mBRlegit vs Shaheen | 26–12 | 68.42% |
mBRlegit vs Jun | 13–23 | 36.11% |
mBRlegit vs Nina | 12–23 | 34.29% |
mBRlegit vs Jack-8 | 17–16 | 51.52% |
mBRlegit vs Lili | 23–10 | 69.70% |
mBRlegit vs Eddy | 10–17 | 37.04% |
mBRlegit vs Leroy | 18–4 | 81.82% |
mBRlegit vs Lidia | 8–11 | 42.11% |
mBRlegit vs Panda | 3–7 | 30.00% |
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.