| Mkicks vs Lili | 439–331 | 57.01% |
| Mkicks vs Jin | 324–343 | 48.58% |
| Mkicks vs King | 329–331–1 | 49.85% |
| Mkicks vs Hwoarang | 293–326 | 47.33% |
| Mkicks vs Yoshimitsu | 344–227 | 60.25% |
| Mkicks vs Law | 303–234 | 56.42% |
| Mkicks vs Bryan | 250–269 | 48.17% |
| Mkicks vs Alisa | 312–194 | 61.66% |
| Mkicks vs Lee | 262–235 | 52.72% |
| Mkicks vs Steve | 199–284 | 41.20% |
| Mkicks vs Lars | 247–201 | 55.13% |
| Mkicks vs Feng | 235–202 | 53.78% |
| Mkicks vs Dragunov | 208–190 | 52.26% |
| Mkicks vs Paul | 211–180 | 53.96% |
| Mkicks vs Leroy | 237–148 | 61.56% |
| Mkicks vs Kazuya | 203–171 | 54.28% |
| Mkicks vs Asuka | 175–199 | 46.79% |
| Mkicks vs Nina | 203–167 | 54.86% |
| Mkicks vs Leo | 221–141 | 61.05% |
| Mkicks vs Devil Jin | 200–158 | 55.87% |
| Mkicks vs Xiaoyu | 186–151 | 55.19% |
| Mkicks vs Jun | 178–153 | 53.78% |
| Mkicks vs Jack-8 | 163–154 | 51.42% |
| Mkicks vs Reina | 130–150 | 46.43% |
| Mkicks vs Azucena | 145–118 | 55.13% |
| Mkicks vs Raven | 121–119 | 50.42% |
| Mkicks vs Zafina | 140–99 | 58.58% |
| Mkicks vs Eddy | 97–125 | 43.69% |
| Mkicks vs Kuma | 91–125 | 42.13% |
| Mkicks vs Victor | 83–133 | 38.43% |
| Mkicks vs Heihachi | 89–123 | 41.98% |
| Mkicks vs Claudio | 87–96–1 | 47.54% |
| Mkicks vs Anna | 76–96 | 44.19% |
| Mkicks vs Fahkumram | 71–81 | 46.71% |
| Mkicks vs Shaheen | 83–68 | 54.97% |
| Mkicks vs Lidia | 66–77 | 46.15% |
| Mkicks vs Armor King | 61–45 | 57.55% |
| Mkicks vs Clive | 41–51 | 44.57% |
| Mkicks vs Panda | 35–46 | 43.21% |
| Mkicks vs Miary Zo | 7–12 | 36.84% |
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.