Slime6092 vs Law | 56–48 | 53.85% |
Slime6092 vs King | 53–48 | 52.48% |
Slime6092 vs Bryan | 48–50 | 48.98% |
Slime6092 vs Kazuya | 60–38 | 61.22% |
Slime6092 vs Yoshimitsu | 56–37–1 | 60.22% |
Slime6092 vs Hwoarang | 52–38 | 57.78% |
Slime6092 vs Paul | 45–43 | 51.14% |
Slime6092 vs Heihachi | 24–44 | 35.29% |
Slime6092 vs Jin | 35–31 | 53.03% |
Slime6092 vs Steve | 33–33 | 50.00% |
Slime6092 vs Lee | 27–34 | 44.26% |
Slime6092 vs Reina | 30–29 | 50.85% |
Slime6092 vs Alisa | 37–19 | 66.07% |
Slime6092 vs Lili | 32–22 | 59.26% |
Slime6092 vs Victor | 22–25 | 46.81% |
Slime6092 vs Feng | 21–23 | 47.73% |
Slime6092 vs Lars | 27–17 | 61.36% |
Slime6092 vs Dragunov | 24–17 | 58.54% |
Slime6092 vs Nina | 19–20 | 48.72% |
Slime6092 vs Xiaoyu | 23–12 | 65.71% |
Slime6092 vs Eddy | 16–19 | 45.71% |
Slime6092 vs Jack-8 | 22–12 | 64.71% |
Slime6092 vs Leroy | 23–11 | 67.65% |
Slime6092 vs Asuka | 20–13 | 60.61% |
Slime6092 vs Claudio | 11–22 | 33.33% |
Slime6092 vs Devil Jin | 11–20 | 35.48% |
Slime6092 vs Lidia | 19–10 | 65.52% |
Slime6092 vs Clive | 10–18 | 35.71% |
Slime6092 vs Azucena | 13–13 | 50.00% |
Slime6092 vs Raven | 17–9 | 65.38% |
Slime6092 vs Kuma | 16–7 | 69.57% |
Slime6092 vs Leo | 11–10 | 52.38% |
Slime6092 vs Jun | 13–8 | 61.90% |
Slime6092 vs Shaheen | 9–6 | 60.00% |
Slime6092 vs Zafina | 5–7 | 41.67% |
Slime6092 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.