| KingggDior vs Steve | 20–28 | 41.67% |
| KingggDior vs King | 17–22 | 43.59% |
| KingggDior vs Jin | 9–26 | 25.71% |
| KingggDior vs Law | 16–16–1 | 50.00% |
| KingggDior vs Hwoarang | 17–12 | 58.62% |
| KingggDior vs Miary Zo | 12–17 | 41.38% |
| KingggDior vs Jun | 12–15 | 44.44% |
| KingggDior vs Armor King | 10–16 | 38.46% |
| KingggDior vs Reina | 10–13 | 43.48% |
| KingggDior vs Clive | 12–10 | 54.55% |
| KingggDior vs Eddy | 4–17 | 19.05% |
| KingggDior vs Lili | 7–13 | 35.00% |
| KingggDior vs Dragunov | 7–13 | 35.00% |
| KingggDior vs Heihachi | 6–14 | 30.00% |
| KingggDior vs Lars | 9–10 | 47.37% |
| KingggDior vs Nina | 9–9 | 50.00% |
| KingggDior vs Azucena | 11–7 | 61.11% |
| KingggDior vs Paul | 7–10 | 41.18% |
| KingggDior vs Bryan | 5–12 | 29.41% |
| KingggDior vs Lee | 8–9 | 47.06% |
| KingggDior vs Lidia | 10–6 | 62.50% |
| KingggDior vs Xiaoyu | 7–8 | 46.67% |
| KingggDior vs Kazuya | 3–12 | 20.00% |
| KingggDior vs Victor | 5–8 | 38.46% |
| KingggDior vs Leroy | 10–2 | 83.33% |
| KingggDior vs Jack-8 | 5–6 | 45.45% |
| KingggDior vs Raven | 3–7 | 30.00% |
| KingggDior vs Yoshimitsu | 2–7 | 22.22% |
| KingggDior vs Feng | 6–2 | 75.00% |
| KingggDior vs Claudio | 3–5 | 37.50% |
| KingggDior vs Anna | 4–4 | 50.00% |
| KingggDior vs Fahkumram | 3–5 | 37.50% |
| KingggDior vs Leo | 2–4 | 33.33% |
| KingggDior vs Alisa | 1–5 | 16.67% |
| KingggDior vs Kuma | 1–5 | 16.67% |
| KingggDior vs Panda | 2–3 | 40.00% |
| KingggDior vs Asuka | 2–2 | 50.00% |
| KingggDior vs Devil Jin | 0–4 | 0.00% |
| KingggDior vs Shaheen | 2–1 | 66.67% |
| KingggDior vs Zafina | 2–0 | 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.