| KnK101 vs Kazuya | 367–346 | 51.47% |
| KnK101 vs Bryan | 375–326 | 53.50% |
| KnK101 vs Jin | 369–331 | 52.71% |
| KnK101 vs Hwoarang | 353–295 | 54.48% |
| KnK101 vs King | 311–307 | 50.32% |
| KnK101 vs Law | 261–234 | 52.73% |
| KnK101 vs Yoshimitsu | 219–217 | 50.23% |
| KnK101 vs Steve | 228–186 | 55.07% |
| KnK101 vs Devil Jin | 188–223 | 45.74% |
| KnK101 vs Dragunov | 224–179 | 55.58% |
| KnK101 vs Lee | 199–193 | 50.77% |
| KnK101 vs Reina | 167–224 | 42.71% |
| KnK101 vs Lili | 211–177 | 54.38% |
| KnK101 vs Lars | 167–203 | 45.14% |
| KnK101 vs Heihachi | 194–173 | 52.86% |
| KnK101 vs Paul | 191–164 | 53.80% |
| KnK101 vs Feng | 139–189 | 42.38% |
| KnK101 vs Nina | 182–144 | 55.83% |
| KnK101 vs Xiaoyu | 185–127 | 59.29% |
| KnK101 vs Eddy | 128–157 | 44.91% |
| KnK101 vs Asuka | 136–129 | 51.32% |
| KnK101 vs Alisa | 132–119 | 52.59% |
| KnK101 vs Jun | 113–125 | 47.48% |
| KnK101 vs Victor | 100–132 | 43.10% |
| KnK101 vs Azucena | 94–130 | 41.96% |
| KnK101 vs Leroy | 117–104 | 52.94% |
| KnK101 vs Jack-8 | 97–116 | 45.54% |
| KnK101 vs Raven | 110–102 | 51.89% |
| KnK101 vs Zafina | 101–109 | 48.10% |
| KnK101 vs Claudio | 100–106 | 48.54% |
| KnK101 vs Lidia | 88–104 | 45.83% |
| KnK101 vs Leo | 102–85 | 54.55% |
| KnK101 vs Armor King | 78–97 | 44.57% |
| KnK101 vs Anna | 74–79 | 48.37% |
| KnK101 vs Shaheen | 64–78 | 45.07% |
| KnK101 vs Kuma | 63–78 | 44.68% |
| KnK101 vs Clive | 58–80 | 42.03% |
| KnK101 vs Fahkumram | 49–77 | 38.89% |
| KnK101 vs Panda | 27–31 | 46.55% |
| KnK101 vs Miary Zo | 4–1 | 80.00% |
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.