RattlnGattln vs Jin | 359–304 | 54.15% |
RattlnGattln vs Kazuya | 291–276–1 | 51.32% |
RattlnGattln vs Hwoarang | 273–254 | 51.80% |
RattlnGattln vs Bryan | 279–246 | 53.14% |
RattlnGattln vs King | 228–283 | 44.62% |
RattlnGattln vs Steve | 248–248 | 50.00% |
RattlnGattln vs Dragunov | 217–230 | 48.55% |
RattlnGattln vs Reina | 205–229 | 47.24% |
RattlnGattln vs Law | 215–204 | 51.31% |
RattlnGattln vs Yoshimitsu | 201–206 | 49.39% |
RattlnGattln vs Paul | 180–216 | 45.45% |
RattlnGattln vs Lee | 184–197 | 48.29% |
RattlnGattln vs Lili | 208–169 | 55.17% |
RattlnGattln vs Lars | 214–149 | 58.95% |
RattlnGattln vs Devil Jin | 169–189 | 47.21% |
RattlnGattln vs Feng | 140–159 | 46.82% |
RattlnGattln vs Asuka | 139–141 | 49.64% |
RattlnGattln vs Lidia | 132–146 | 47.48% |
RattlnGattln vs Xiaoyu | 139–137 | 50.36% |
RattlnGattln vs Jun | 143–133 | 51.81% |
RattlnGattln vs Jack-8 | 130–141 | 47.97% |
RattlnGattln vs Leo | 142–129 | 52.40% |
RattlnGattln vs Heihachi | 97–160 | 37.74% |
RattlnGattln vs Azucena | 111–140 | 44.22% |
RattlnGattln vs Raven | 135–115 | 54.00% |
RattlnGattln vs Victor | 114–130 | 46.72% |
RattlnGattln vs Nina | 130–109 | 54.39% |
RattlnGattln vs Leroy | 115–94 | 55.02% |
RattlnGattln vs Eddy | 93–116 | 44.50% |
RattlnGattln vs Shaheen | 103–105 | 49.52% |
RattlnGattln vs Alisa | 99–86 | 53.51% |
RattlnGattln vs Claudio | 90–87 | 50.85% |
RattlnGattln vs Zafina | 88–80 | 52.38% |
RattlnGattln vs Kuma | 73–52 | 58.40% |
RattlnGattln vs Clive | 44–62 | 41.51% |
RattlnGattln vs Panda | 31–31 | 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.