| Kingo kongo vs Jin | 16–14 | 53.33% |
| Kingo kongo vs Kazuya | 18–11 | 62.07% |
| Kingo kongo vs Yoshimitsu | 14–14 | 50.00% |
| Kingo kongo vs Hwoarang | 18–9 | 66.67% |
| Kingo kongo vs Bryan | 11–16 | 40.74% |
| Kingo kongo vs Law | 19–5 | 79.17% |
| Kingo kongo vs Eddy | 14–7 | 66.67% |
| Kingo kongo vs Victor | 10–9 | 52.63% |
| Kingo kongo vs King | 12–6 | 66.67% |
| Kingo kongo vs Steve | 9–9 | 50.00% |
| Kingo kongo vs Jun | 10–8 | 55.56% |
| Kingo kongo vs Feng | 11–6 | 64.71% |
| Kingo kongo vs Lars | 9–8 | 52.94% |
| Kingo kongo vs Lee | 11–6 | 64.71% |
| Kingo kongo vs Lili | 9–5 | 64.29% |
| Kingo kongo vs Paul | 5–8 | 38.46% |
| Kingo kongo vs Devil Jin | 4–8 | 33.33% |
| Kingo kongo vs Dragunov | 8–4 | 66.67% |
| Kingo kongo vs Reina | 7–5 | 58.33% |
| Kingo kongo vs Heihachi | 9–3 | 75.00% |
| Kingo kongo vs Asuka | 4–6 | 40.00% |
| Kingo kongo vs Azucena | 8–2 | 80.00% |
| Kingo kongo vs Armor King | 7–2 | 77.78% |
| Kingo kongo vs Nina | 6–2 | 75.00% |
| Kingo kongo vs Jack-8 | 4–3 | 57.14% |
| Kingo kongo vs Leroy | 2–4 | 33.33% |
| Kingo kongo vs Fahkumram | 5–1 | 83.33% |
| Kingo kongo vs Xiaoyu | 4–1 | 80.00% |
| Kingo kongo vs Kuma | 2–2 | 50.00% |
| Kingo kongo vs Leo | 1–2 | 33.33% |
| Kingo kongo vs Alisa | 2–1 | 66.67% |
| Kingo kongo vs Zafina | 1–2 | 33.33% |
| Kingo kongo vs Raven | 2–1 | 66.67% |
| Kingo kongo vs Clive | 1–2 | 33.33% |
| Kingo kongo vs Anna | 0–3 | 0.00% |
| Kingo kongo vs Claudio | 2–0 | 100.00% |
| Kingo kongo vs Panda | 2–0 | 100.00% |
| Kingo kongo vs Lidia | 1–1 | 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.