| KiNgSlAyEr vs King | 35–39 | 47.30% |
| KiNgSlAyEr vs Kazuya | 40–32 | 55.56% |
| KiNgSlAyEr vs Reina | 37–33 | 52.86% |
| KiNgSlAyEr vs Lili | 33–30 | 52.38% |
| KiNgSlAyEr vs Jin | 31–28 | 52.54% |
| KiNgSlAyEr vs Bryan | 24–35 | 40.68% |
| KiNgSlAyEr vs Steve | 25–31 | 44.64% |
| KiNgSlAyEr vs Lee | 24–31 | 43.64% |
| KiNgSlAyEr vs Hwoarang | 27–26 | 50.94% |
| KiNgSlAyEr vs Law | 28–18 | 60.87% |
| KiNgSlAyEr vs Eddy | 22–20 | 52.38% |
| KiNgSlAyEr vs Paul | 17–24 | 41.46% |
| KiNgSlAyEr vs Dragunov | 19–19 | 50.00% |
| KiNgSlAyEr vs Yoshimitsu | 15–21 | 41.67% |
| KiNgSlAyEr vs Azucena | 21–15 | 58.33% |
| KiNgSlAyEr vs Xiaoyu | 20–13 | 60.61% |
| KiNgSlAyEr vs Lars | 22–11 | 66.67% |
| KiNgSlAyEr vs Asuka | 14–18 | 43.75% |
| KiNgSlAyEr vs Heihachi | 15–16 | 48.39% |
| KiNgSlAyEr vs Devil Jin | 11–18 | 37.93% |
| KiNgSlAyEr vs Victor | 12–16 | 42.86% |
| KiNgSlAyEr vs Clive | 11–14 | 44.00% |
| KiNgSlAyEr vs Claudio | 9–13 | 40.91% |
| KiNgSlAyEr vs Lidia | 11–11 | 50.00% |
| KiNgSlAyEr vs Alisa | 13–8 | 61.90% |
| KiNgSlAyEr vs Leo | 11–9 | 55.00% |
| KiNgSlAyEr vs Jun | 11–8 | 57.89% |
| KiNgSlAyEr vs Leroy | 12–6 | 66.67% |
| KiNgSlAyEr vs Jack-8 | 9–7 | 56.25% |
| KiNgSlAyEr vs Nina | 9–7 | 56.25% |
| KiNgSlAyEr vs Feng | 3–10 | 23.08% |
| KiNgSlAyEr vs Raven | 7–6 | 53.85% |
| KiNgSlAyEr vs Shaheen | 8–1 | 88.89% |
| KiNgSlAyEr vs Kuma | 6–3 | 66.67% |
| KiNgSlAyEr vs Panda | 3–1 | 75.00% |
| KiNgSlAyEr vs Zafina | 2–2 | 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.