| K1NG vs Jin | 81–81 | 50.00% |
| K1NG vs Kazuya | 79–58 | 57.66% |
| K1NG vs Hwoarang | 71–63 | 52.99% |
| K1NG vs Dragunov | 68–66 | 50.75% |
| K1NG vs King | 54–61 | 46.96% |
| K1NG vs Bryan | 59–50 | 54.13% |
| K1NG vs Reina | 50–57 | 46.73% |
| K1NG vs Paul | 41–44 | 48.24% |
| K1NG vs Steve | 55–30 | 64.71% |
| K1NG vs Law | 40–36 | 52.63% |
| K1NG vs Yoshimitsu | 43–26 | 62.32% |
| K1NG vs Victor | 39–30 | 56.52% |
| K1NG vs Xiaoyu | 32–33 | 49.23% |
| K1NG vs Devil Jin | 30–32 | 48.39% |
| K1NG vs Lidia | 29–33 | 46.77% |
| K1NG vs Feng | 31–30 | 50.82% |
| K1NG vs Lili | 23–36 | 38.98% |
| K1NG vs Claudio | 15–34 | 30.61% |
| K1NG vs Jack-8 | 20–27–1 | 42.55% |
| K1NG vs Asuka | 23–25 | 47.92% |
| K1NG vs Alisa | 29–19 | 60.42% |
| K1NG vs Lee | 32–16 | 66.67% |
| K1NG vs Lars | 27–18 | 60.00% |
| K1NG vs Jun | 26–18 | 59.09% |
| K1NG vs Heihachi | 9–29 | 23.68% |
| K1NG vs Leo | 20–17 | 54.05% |
| K1NG vs Shaheen | 14–15 | 48.28% |
| K1NG vs Raven | 13–16 | 44.83% |
| K1NG vs Azucena | 17–11 | 60.71% |
| K1NG vs Nina | 7–19 | 26.92% |
| K1NG vs Leroy | 5–20 | 20.00% |
| K1NG vs Clive | 10–15 | 40.00% |
| K1NG vs Eddy | 10–5 | 66.67% |
| K1NG vs Armor King | 5–6 | 45.45% |
| K1NG vs Kuma | 1–8 | 11.11% |
| K1NG vs Zafina | 6–3 | 66.67% |
| K1NG vs Panda | 1–5 | 16.67% |
| K1NG vs Fahkumram | 2–1 | 66.67% |
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.