RayRayBinks vs Law | 40–26 | 60.61% |
RayRayBinks vs King | 27–30 | 47.37% |
RayRayBinks vs Jin | 19–21 | 47.50% |
RayRayBinks vs Paul | 14–21 | 40.00% |
RayRayBinks vs Xiaoyu | 15–19 | 44.12% |
RayRayBinks vs Bryan | 15–18 | 45.45% |
RayRayBinks vs Lee | 17–16 | 51.52% |
RayRayBinks vs Reina | 22–11 | 66.67% |
RayRayBinks vs Steve | 17–13 | 56.67% |
RayRayBinks vs Kazuya | 11–16 | 40.74% |
RayRayBinks vs Yoshimitsu | 12–13 | 48.00% |
RayRayBinks vs Lili | 12–12 | 50.00% |
RayRayBinks vs Jun | 17–7 | 70.83% |
RayRayBinks vs Eddy | 20–4 | 83.33% |
RayRayBinks vs Lars | 11–12 | 47.83% |
RayRayBinks vs Hwoarang | 14–8 | 63.64% |
RayRayBinks vs Asuka | 13–6 | 68.42% |
RayRayBinks vs Lidia | 15–4 | 78.95% |
RayRayBinks vs Devil Jin | 9–8 | 52.94% |
RayRayBinks vs Dragunov | 9–7 | 56.25% |
RayRayBinks vs Claudio | 10–6 | 62.50% |
RayRayBinks vs Leroy | 7–6 | 53.85% |
RayRayBinks vs Nina | 9–3 | 75.00% |
RayRayBinks vs Feng | 8–3 | 72.73% |
RayRayBinks vs Leo | 4–7 | 36.36% |
RayRayBinks vs Alisa | 6–5 | 54.55% |
RayRayBinks vs Azucena | 3–8 | 27.27% |
RayRayBinks vs Heihachi | 7–4 | 63.64% |
RayRayBinks vs Victor | 7–2 | 77.78% |
RayRayBinks vs Jack-8 | 4–4 | 50.00% |
RayRayBinks vs Clive | 2–6 | 25.00% |
RayRayBinks vs Kuma | 4–3 | 57.14% |
RayRayBinks vs Raven | 2–4 | 33.33% |
RayRayBinks vs Shaheen | 4–1 | 80.00% |
RayRayBinks vs Panda | 1–3 | 25.00% |
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.