DogsNSuits vs Heihachi | 49–35 | 58.33% |
DogsNSuits vs Bryan | 29–19 | 60.42% |
DogsNSuits vs King | 32–12 | 72.73% |
DogsNSuits vs Kazuya | 26–18 | 59.09% |
DogsNSuits vs Jin | 21–15 | 58.33% |
DogsNSuits vs Dragunov | 21–10 | 67.74% |
DogsNSuits vs Steve | 14–15 | 48.28% |
DogsNSuits vs Reina | 20–8 | 71.43% |
DogsNSuits vs Law | 19–7 | 73.08% |
DogsNSuits vs Paul | 12–10 | 54.55% |
DogsNSuits vs Lee | 11–11 | 50.00% |
DogsNSuits vs Leroy | 15–7 | 68.18% |
DogsNSuits vs Azucena | 16–6 | 72.73% |
DogsNSuits vs Eddy | 13–9 | 59.09% |
DogsNSuits vs Nina | 11–9 | 55.00% |
DogsNSuits vs Leo | 9–9 | 50.00% |
DogsNSuits vs Hwoarang | 11–6 | 64.71% |
DogsNSuits vs Devil Jin | 12–5 | 70.59% |
DogsNSuits vs Alisa | 11–6 | 64.71% |
DogsNSuits vs Yoshimitsu | 13–2 | 86.67% |
DogsNSuits vs Kuma | 12–3 | 80.00% |
DogsNSuits vs Jun | 9–6 | 60.00% |
DogsNSuits vs Lidia | 6–9 | 40.00% |
DogsNSuits vs Feng | 9–4 | 69.23% |
DogsNSuits vs Lili | 12–1 | 92.31% |
DogsNSuits vs Raven | 7–5 | 58.33% |
DogsNSuits vs Lars | 4–6 | 40.00% |
DogsNSuits vs Shaheen | 3–7 | 30.00% |
DogsNSuits vs Victor | 8–2 | 80.00% |
DogsNSuits vs Xiaoyu | 4–5 | 44.44% |
DogsNSuits vs Asuka | 6–2 | 75.00% |
DogsNSuits vs Claudio | 8–0 | 100.00% |
DogsNSuits vs Zafina | 6–1 | 85.71% |
DogsNSuits vs Jack-8 | 2–4 | 33.33% |
DogsNSuits vs Panda | 2–1 | 66.67% |
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.