楽CX._.999幸 vs Heihachi | 22–39 | 36.07% |
楽CX._.999幸 vs Kazuya | 20–29 | 40.82% |
楽CX._.999幸 vs Reina | 23–23 | 50.00% |
楽CX._.999幸 vs Lili | 15–22 | 40.54% |
楽CX._.999幸 vs Law | 15–19 | 44.12% |
楽CX._.999幸 vs King | 16–14 | 53.33% |
楽CX._.999幸 vs Jin | 10–17 | 37.04% |
楽CX._.999幸 vs Hwoarang | 13–13 | 50.00% |
楽CX._.999幸 vs Steve | 12–14 | 46.15% |
楽CX._.999幸 vs Yoshimitsu | 14–11 | 56.00% |
楽CX._.999幸 vs Xiaoyu | 12–12 | 50.00% |
楽CX._.999幸 vs Lidia | 8–15 | 34.78% |
楽CX._.999幸 vs Dragunov | 7–12 | 36.84% |
楽CX._.999幸 vs Jun | 8–11 | 42.11% |
楽CX._.999幸 vs Alisa | 8–9 | 47.06% |
楽CX._.999幸 vs Victor | 5–11 | 31.25% |
楽CX._.999幸 vs Feng | 4–10 | 28.57% |
楽CX._.999幸 vs Azucena | 2–12 | 14.29% |
楽CX._.999幸 vs Nina | 8–5 | 61.54% |
楽CX._.999幸 vs Asuka | 5–7 | 41.67% |
楽CX._.999幸 vs Devil Jin | 3–9 | 25.00% |
楽CX._.999幸 vs Bryan | 4–7 | 36.36% |
楽CX._.999幸 vs Lee | 7–3 | 70.00% |
楽CX._.999幸 vs Raven | 4–6 | 40.00% |
楽CX._.999幸 vs Claudio | 2–7 | 22.22% |
楽CX._.999幸 vs Eddy | 3–6 | 33.33% |
楽CX._.999幸 vs Jack-8 | 0–8 | 0.00% |
楽CX._.999幸 vs Paul | 3–4 | 42.86% |
楽CX._.999幸 vs Leo | 4–2 | 66.67% |
楽CX._.999幸 vs Lars | 2–3 | 40.00% |
楽CX._.999幸 vs Shaheen | 2–3 | 40.00% |
楽CX._.999幸 vs Leroy | 1–4 | 20.00% |
楽CX._.999幸 vs Zafina | 2–1 | 66.67% |
楽CX._.999幸 vs Kuma | 0–2 | 0.00% |
楽CX._.999幸 vs Panda | 1–1 | 50.00% |
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.