| Kgaming22 vs Hwoarang | 75–71 | 51.37% |
| Kgaming22 vs King | 84–60 | 58.33% |
| Kgaming22 vs Kazuya | 76–68 | 52.78% |
| Kgaming22 vs Reina | 63–75–1 | 45.65% |
| Kgaming22 vs Jin | 64–72 | 47.06% |
| Kgaming22 vs Bryan | 55–69 | 44.35% |
| Kgaming22 vs Law | 44–77 | 36.36% |
| Kgaming22 vs Steve | 64–54 | 54.24% |
| Kgaming22 vs Dragunov | 66–49–1 | 57.39% |
| Kgaming22 vs Lili | 43–40 | 51.81% |
| Kgaming22 vs Azucena | 37–41 | 47.44% |
| Kgaming22 vs Lars | 48–29 | 62.34% |
| Kgaming22 vs Xiaoyu | 41–35 | 53.95% |
| Kgaming22 vs Paul | 26–42 | 38.24% |
| Kgaming22 vs Victor | 30–35 | 46.15% |
| Kgaming22 vs Armor King | 31–33 | 48.44% |
| Kgaming22 vs Lee | 32–31 | 50.79% |
| Kgaming22 vs Feng | 30–32 | 48.39% |
| Kgaming22 vs Eddy | 29–33 | 46.77% |
| Kgaming22 vs Leo | 25–35 | 41.67% |
| Kgaming22 vs Raven | 30–26 | 53.57% |
| Kgaming22 vs Nina | 24–30 | 44.44% |
| Kgaming22 vs Heihachi | 26–26 | 50.00% |
| Kgaming22 vs Devil Jin | 21–28 | 42.86% |
| Kgaming22 vs Yoshimitsu | 23–25 | 47.92% |
| Kgaming22 vs Leroy | 28–20 | 58.33% |
| Kgaming22 vs Jack-8 | 21–26 | 44.68% |
| Kgaming22 vs Fahkumram | 19–28 | 40.43% |
| Kgaming22 vs Jun | 20–22 | 47.62% |
| Kgaming22 vs Asuka | 13–24 | 35.14% |
| Kgaming22 vs Kuma | 14–22 | 38.89% |
| Kgaming22 vs Miary Zo | 6–30 | 16.67% |
| Kgaming22 vs Alisa | 17–17 | 50.00% |
| Kgaming22 vs Zafina | 15–18 | 45.45% |
| Kgaming22 vs Lidia | 17–16 | 51.52% |
| Kgaming22 vs Clive | 10–10 | 50.00% |
| Kgaming22 vs Claudio | 9–9 | 50.00% |
| Kgaming22 vs Anna | 4–13 | 23.53% |
| Kgaming22 vs Panda | 5–8 | 38.46% |
| Kgaming22 vs Shaheen | 2–10 | 16.67% |
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.