| mkjokk vs Kazuya | 407–390 | 51.07% |
| mkjokk vs Jin | 308–322 | 48.89% |
| mkjokk vs Bryan | 308–292 | 51.33% |
| mkjokk vs Heihachi | 186–249 | 42.76% |
| mkjokk vs Hwoarang | 205–210–1 | 49.40% |
| mkjokk vs King | 189–193 | 49.48% |
| mkjokk vs Dragunov | 202–176 | 53.44% |
| mkjokk vs Clive | 175–156 | 52.87% |
| mkjokk vs Paul | 170–160 | 51.52% |
| mkjokk vs Devil Jin | 158–161 | 49.53% |
| mkjokk vs Steve | 159–157 | 50.32% |
| mkjokk vs Yoshimitsu | 183–129 | 58.65% |
| mkjokk vs Law | 150–148 | 50.34% |
| mkjokk vs Reina | 130–163 | 44.37% |
| mkjokk vs Lee | 160–132 | 54.79% |
| mkjokk vs Lili | 111–122 | 47.64% |
| mkjokk vs Asuka | 105–99 | 51.47% |
| mkjokk vs Feng | 100–91 | 52.36% |
| mkjokk vs Raven | 92–90 | 50.55% |
| mkjokk vs Jun | 83–96 | 46.37% |
| mkjokk vs Armor King | 92–79 | 53.80% |
| mkjokk vs Xiaoyu | 84–84 | 50.00% |
| mkjokk vs Nina | 68–100 | 40.48% |
| mkjokk vs Lars | 79–88 | 47.31% |
| mkjokk vs Azucena | 94–73 | 56.29% |
| mkjokk vs Lidia | 70–96 | 42.17% |
| mkjokk vs Alisa | 75–85 | 46.88% |
| mkjokk vs Victor | 84–72 | 53.85% |
| mkjokk vs Leo | 58–75 | 43.61% |
| mkjokk vs Claudio | 70–63 | 52.63% |
| mkjokk vs Fahkumram | 65–68 | 48.87% |
| mkjokk vs Eddy | 65–60 | 52.00% |
| mkjokk vs Leroy | 67–57 | 54.03% |
| mkjokk vs Shaheen | 61–48 | 55.96% |
| mkjokk vs Anna | 42–57 | 42.42% |
| mkjokk vs Zafina | 41–57 | 41.84% |
| mkjokk vs Jack-8 | 33–53 | 38.37% |
| mkjokk vs Kuma | 25–39 | 39.06% |
| mkjokk vs Miary Zo | 25–36 | 40.98% |
| mkjokk vs Panda | 18–22 | 45.00% |
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.