J_BIZZ510 vs Jin | 34–28 | 54.84% |
J_BIZZ510 vs King | 32–23 | 58.18% |
J_BIZZ510 vs Kazuya | 18–21 | 46.15% |
J_BIZZ510 vs Reina | 24–13 | 64.86% |
J_BIZZ510 vs Eddy | 18–14 | 56.25% |
J_BIZZ510 vs Law | 15–15 | 50.00% |
J_BIZZ510 vs Yoshimitsu | 13–12 | 52.00% |
J_BIZZ510 vs Hwoarang | 17–8 | 68.00% |
J_BIZZ510 vs Lili | 13–11 | 54.17% |
J_BIZZ510 vs Paul | 12–11 | 52.17% |
J_BIZZ510 vs Azucena | 8–11 | 42.11% |
J_BIZZ510 vs Lee | 8–10 | 44.44% |
J_BIZZ510 vs Steve | 12–5 | 70.59% |
J_BIZZ510 vs Dragunov | 6–11 | 35.29% |
J_BIZZ510 vs Nina | 9–8 | 52.94% |
J_BIZZ510 vs Alisa | 7–9 | 43.75% |
J_BIZZ510 vs Bryan | 8–7 | 53.33% |
J_BIZZ510 vs Jun | 11–4 | 73.33% |
J_BIZZ510 vs Jack-8 | 6–7 | 46.15% |
J_BIZZ510 vs Leo | 8–5 | 61.54% |
J_BIZZ510 vs Lidia | 9–3 | 75.00% |
J_BIZZ510 vs Lars | 7–4 | 63.64% |
J_BIZZ510 vs Claudio | 2–8 | 20.00% |
J_BIZZ510 vs Xiaoyu | 4–5 | 44.44% |
J_BIZZ510 vs Devil Jin | 6–3 | 66.67% |
J_BIZZ510 vs Kuma | 4–5 | 44.44% |
J_BIZZ510 vs Raven | 4–5 | 44.44% |
J_BIZZ510 vs Asuka | 5–3 | 62.50% |
J_BIZZ510 vs Leroy | 3–5 | 37.50% |
J_BIZZ510 vs Victor | 4–3 | 57.14% |
J_BIZZ510 vs Feng | 3–3 | 50.00% |
J_BIZZ510 vs Shaheen | 3–0 | 100.00% |
J_BIZZ510 vs Zafina | 2–1 | 66.67% |
J_BIZZ510 vs Heihachi | 1–2 | 33.33% |
J_BIZZ510 vs Panda | 1–1 | 50.00% |
J_BIZZ510 vs Clive | 1–0 | 100.00% |
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.