TTVKisuke699 vs King | 25–40 | 38.46% |
TTVKisuke699 vs Reina | 28–27 | 50.91% |
TTVKisuke699 vs Jin | 28–25 | 52.83% |
TTVKisuke699 vs Bryan | 21–27 | 43.75% |
TTVKisuke699 vs Hwoarang | 21–25 | 45.65% |
TTVKisuke699 vs Victor | 22–21 | 51.16% |
TTVKisuke699 vs Steve | 26–15 | 63.41% |
TTVKisuke699 vs Heihachi | 28–10 | 73.68% |
TTVKisuke699 vs Eddy | 17–20 | 45.95% |
TTVKisuke699 vs Yoshimitsu | 14–20 | 41.18% |
TTVKisuke699 vs Kazuya | 13–21 | 38.24% |
TTVKisuke699 vs Azucena | 14–20 | 41.18% |
TTVKisuke699 vs Jun | 18–14 | 56.25% |
TTVKisuke699 vs Dragunov | 15–12 | 55.56% |
TTVKisuke699 vs Devil Jin | 13–12 | 52.00% |
TTVKisuke699 vs Lili | 14–11 | 56.00% |
TTVKisuke699 vs Law | 5–16 | 23.81% |
TTVKisuke699 vs Lars | 7–14 | 33.33% |
TTVKisuke699 vs Lee | 8–12 | 40.00% |
TTVKisuke699 vs Claudio | 10–9 | 52.63% |
TTVKisuke699 vs Feng | 11–7 | 61.11% |
TTVKisuke699 vs Paul | 7–9 | 43.75% |
TTVKisuke699 vs Lidia | 7–8 | 46.67% |
TTVKisuke699 vs Leroy | 5–9 | 35.71% |
TTVKisuke699 vs Nina | 1–12 | 7.69% |
TTVKisuke699 vs Raven | 8–5 | 61.54% |
TTVKisuke699 vs Asuka | 4–8 | 33.33% |
TTVKisuke699 vs Leo | 4–8 | 33.33% |
TTVKisuke699 vs Alisa | 4–7 | 36.36% |
TTVKisuke699 vs Jack-8 | 4–6 | 40.00% |
TTVKisuke699 vs Kuma | 6–3 | 66.67% |
TTVKisuke699 vs Xiaoyu | 5–3 | 62.50% |
TTVKisuke699 vs Panda | 2–2 | 50.00% |
TTVKisuke699 vs Shaheen | 0–1 | 0.00% |
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.