| Kami-sama690 vs King | 14–13 | 51.85% |
| Kami-sama690 vs Hwoarang | 16–9 | 64.00% |
| Kami-sama690 vs Reina | 15–6 | 71.43% |
| Kami-sama690 vs Law | 16–4 | 80.00% |
| Kami-sama690 vs Jin | 11–6–1 | 64.71% |
| Kami-sama690 vs Asuka | 9–8 | 52.94% |
| Kami-sama690 vs Lili | 7–5 | 58.33% |
| Kami-sama690 vs Eddy | 8–4 | 66.67% |
| Kami-sama690 vs Bryan | 8–3 | 72.73% |
| Kami-sama690 vs Lidia | 8–3 | 72.73% |
| Kami-sama690 vs Paul | 5–5 | 50.00% |
| Kami-sama690 vs Dragunov | 9–1 | 90.00% |
| Kami-sama690 vs Heihachi | 8–2 | 80.00% |
| Kami-sama690 vs Kazuya | 5–4 | 55.56% |
| Kami-sama690 vs Lee | 4–4 | 50.00% |
| Kami-sama690 vs Jun | 6–2 | 75.00% |
| Kami-sama690 vs Victor | 5–3 | 62.50% |
| Kami-sama690 vs Armor King | 6–2 | 75.00% |
| Kami-sama690 vs Steve | 3–4 | 42.86% |
| Kami-sama690 vs Nina | 3–4 | 42.86% |
| Kami-sama690 vs Feng | 6–0 | 100.00% |
| Kami-sama690 vs Lars | 5–1 | 83.33% |
| Kami-sama690 vs Alisa | 4–2 | 66.67% |
| Kami-sama690 vs Devil Jin | 3–2 | 60.00% |
| Kami-sama690 vs Clive | 5–0 | 100.00% |
| Kami-sama690 vs Shaheen | 4–0 | 100.00% |
| Kami-sama690 vs Azucena | 4–0 | 100.00% |
| Kami-sama690 vs Anna | 3–1 | 75.00% |
| Kami-sama690 vs Fahkumram | 2–2 | 50.00% |
| Kami-sama690 vs Xiaoyu | 2–1 | 66.67% |
| Kami-sama690 vs Leroy | 1–2 | 33.33% |
| Kami-sama690 vs Yoshimitsu | 2–0 | 100.00% |
| Kami-sama690 vs Jack-8 | 2–0 | 100.00% |
| Kami-sama690 vs Claudio | 2–0 | 100.00% |
| Kami-sama690 vs Panda | 0–2 | 0.00% |
| Kami-sama690 vs Zafina | 2–0 | 100.00% |
| Kami-sama690 vs Kuma | 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.