Bmf992000 vs Jin | 54–45 | 54.55% |
Bmf992000 vs King | 55–39 | 58.51% |
Bmf992000 vs Hwoarang | 57–27 | 67.86% |
Bmf992000 vs Bryan | 41–31 | 56.94% |
Bmf992000 vs Asuka | 33–30 | 52.38% |
Bmf992000 vs Law | 32–30 | 51.61% |
Bmf992000 vs Yoshimitsu | 24–33 | 42.11% |
Bmf992000 vs Steve | 36–20 | 64.29% |
Bmf992000 vs Reina | 19–36 | 34.55% |
Bmf992000 vs Lars | 32–19 | 62.75% |
Bmf992000 vs Nina | 32–19 | 62.75% |
Bmf992000 vs Azucena | 25–26 | 49.02% |
Bmf992000 vs Kazuya | 27–22 | 55.10% |
Bmf992000 vs Lee | 34–13 | 72.34% |
Bmf992000 vs Feng | 32–11 | 74.42% |
Bmf992000 vs Jun | 24–19 | 55.81% |
Bmf992000 vs Eddy | 33–10 | 76.74% |
Bmf992000 vs Dragunov | 23–17 | 57.50% |
Bmf992000 vs Raven | 27–13 | 67.50% |
Bmf992000 vs Heihachi | 19–20 | 48.72% |
Bmf992000 vs Alisa | 21–15 | 58.33% |
Bmf992000 vs Xiaoyu | 11–24 | 31.43% |
Bmf992000 vs Lili | 19–15 | 55.88% |
Bmf992000 vs Victor | 19–13 | 59.38% |
Bmf992000 vs Paul | 18–13 | 58.06% |
Bmf992000 vs Leo | 16–14 | 53.33% |
Bmf992000 vs Devil Jin | 15–14 | 51.72% |
Bmf992000 vs Leroy | 15–14 | 51.72% |
Bmf992000 vs Lidia | 13–14 | 48.15% |
Bmf992000 vs Jack-8 | 11–11 | 50.00% |
Bmf992000 vs Shaheen | 6–10 | 37.50% |
Bmf992000 vs Panda | 7–9 | 43.75% |
Bmf992000 vs Claudio | 10–5 | 66.67% |
Bmf992000 vs Zafina | 6–9 | 40.00% |
Bmf992000 vs Clive | 7–8 | 46.67% |
Bmf992000 vs Kuma | 5–2 | 71.43% |
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.