| kinggo1912 vs Kazuya | 16–16 | 50.00% |
| kinggo1912 vs Reina | 15–13–1 | 53.57% |
| kinggo1912 vs King | 6–22 | 21.43% |
| kinggo1912 vs Hwoarang | 13–12 | 52.00% |
| kinggo1912 vs Armor King | 10–13 | 43.48% |
| kinggo1912 vs Jin | 10–11 | 47.62% |
| kinggo1912 vs Law | 10–10 | 50.00% |
| kinggo1912 vs Steve | 8–10 | 44.44% |
| kinggo1912 vs Bryan | 7–10 | 41.18% |
| kinggo1912 vs Lili | 7–8 | 46.67% |
| kinggo1912 vs Asuka | 4–9 | 30.77% |
| kinggo1912 vs Yoshimitsu | 7–5 | 58.33% |
| kinggo1912 vs Clive | 7–5 | 58.33% |
| kinggo1912 vs Lars | 4–6 | 40.00% |
| kinggo1912 vs Paul | 3–6 | 33.33% |
| kinggo1912 vs Jun | 3–6 | 33.33% |
| kinggo1912 vs Victor | 2–7 | 22.22% |
| kinggo1912 vs Nina | 4–4 | 50.00% |
| kinggo1912 vs Heihachi | 4–4 | 50.00% |
| kinggo1912 vs Fahkumram | 4–4 | 50.00% |
| kinggo1912 vs Eddy | 3–4 | 42.86% |
| kinggo1912 vs Feng | 2–4 | 33.33% |
| kinggo1912 vs Dragunov | 2–4 | 33.33% |
| kinggo1912 vs Lidia | 2–4 | 33.33% |
| kinggo1912 vs Xiaoyu | 1–4 | 20.00% |
| kinggo1912 vs Leroy | 2–3 | 40.00% |
| kinggo1912 vs Anna | 2–3 | 40.00% |
| kinggo1912 vs Jack-8 | 1–3 | 25.00% |
| kinggo1912 vs Devil Jin | 2–2 | 50.00% |
| kinggo1912 vs Zafina | 2–2 | 50.00% |
| kinggo1912 vs Azucena | 2–2 | 50.00% |
| kinggo1912 vs Alisa | 2–1 | 66.67% |
| kinggo1912 vs Shaheen | 2–1 | 66.67% |
| kinggo1912 vs Lee | 0–3 | 0.00% |
| kinggo1912 vs Leo | 0–2 | 0.00% |
| kinggo1912 vs Kuma | 0–2 | 0.00% |
| kinggo1912 vs Raven | 1–1 | 50.00% |
| kinggo1912 vs Claudio | 1–0 | 100.00% |
| kinggo1912 vs Panda | 0–1 | 0.00% |
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.