| KQNFLKT vs Kazuya | 58–95 | 37.91% |
| KQNFLKT vs Jin | 42–71 | 37.17% |
| KQNFLKT vs King | 47–62 | 43.12% |
| KQNFLKT vs Bryan | 34–62 | 35.42% |
| KQNFLKT vs Reina | 43–49 | 46.74% |
| KQNFLKT vs Steve | 43–46 | 48.31% |
| KQNFLKT vs Hwoarang | 51–35 | 59.30% |
| KQNFLKT vs Lili | 48–31 | 60.76% |
| KQNFLKT vs Dragunov | 25–44 | 36.23% |
| KQNFLKT vs Law | 40–27 | 59.70% |
| KQNFLKT vs Lee | 25–33 | 43.10% |
| KQNFLKT vs Eddy | 28–29 | 49.12% |
| KQNFLKT vs Paul | 22–34 | 39.29% |
| KQNFLKT vs Yoshimitsu | 23–33 | 41.07% |
| KQNFLKT vs Xiaoyu | 16–21 | 43.24% |
| KQNFLKT vs Lars | 17–20 | 45.95% |
| KQNFLKT vs Devil Jin | 14–18 | 43.75% |
| KQNFLKT vs Victor | 15–12 | 55.56% |
| KQNFLKT vs Jun | 16–10 | 61.54% |
| KQNFLKT vs Alisa | 9–15 | 37.50% |
| KQNFLKT vs Leroy | 9–13 | 40.91% |
| KQNFLKT vs Jack-8 | 10–9 | 52.63% |
| KQNFLKT vs Asuka | 9–10 | 47.37% |
| KQNFLKT vs Feng | 4–15 | 21.05% |
| KQNFLKT vs Nina | 7–12 | 36.84% |
| KQNFLKT vs Claudio | 10–8 | 55.56% |
| KQNFLKT vs Panda | 5–11 | 31.25% |
| KQNFLKT vs Azucena | 5–9 | 35.71% |
| KQNFLKT vs Lidia | 6–8 | 42.86% |
| KQNFLKT vs Leo | 7–5 | 58.33% |
| KQNFLKT vs Shaheen | 6–6 | 50.00% |
| KQNFLKT vs Kuma | 6–6 | 50.00% |
| KQNFLKT vs Zafina | 6–5 | 54.55% |
| KQNFLKT vs Raven | 3–6 | 33.33% |
| KQNFLKT vs Heihachi | 4–4 | 50.00% |
| KQNFLKT vs Clive | 1–0 | 100.00% |
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.