| Kami-Sama vs King | 25–24 | 51.02% |
| Kami-Sama vs Kazuya | 16–14 | 53.33% |
| Kami-Sama vs Reina | 19–6 | 76.00% |
| Kami-Sama vs Jin | 16–8 | 66.67% |
| Kami-Sama vs Dragunov | 13–8 | 61.90% |
| Kami-Sama vs Law | 12–7 | 63.16% |
| Kami-Sama vs Paul | 7–11 | 38.89% |
| Kami-Sama vs Bryan | 8–10 | 44.44% |
| Kami-Sama vs Lidia | 13–5 | 72.22% |
| Kami-Sama vs Yoshimitsu | 11–6 | 64.71% |
| Kami-Sama vs Lili | 10–7 | 58.82% |
| Kami-Sama vs Asuka | 10–6 | 62.50% |
| Kami-Sama vs Lars | 11–5 | 68.75% |
| Kami-Sama vs Azucena | 11–5 | 68.75% |
| Kami-Sama vs Steve | 8–7 | 53.33% |
| Kami-Sama vs Hwoarang | 6–8 | 42.86% |
| Kami-Sama vs Xiaoyu | 5–9 | 35.71% |
| Kami-Sama vs Leo | 8–5 | 61.54% |
| Kami-Sama vs Armor King | 4–9 | 30.77% |
| Kami-Sama vs Devil Jin | 9–3 | 75.00% |
| Kami-Sama vs Kuma | 8–3 | 72.73% |
| Kami-Sama vs Raven | 6–4 | 60.00% |
| Kami-Sama vs Heihachi | 4–6 | 40.00% |
| Kami-Sama vs Feng | 7–2 | 77.78% |
| Kami-Sama vs Jun | 3–6 | 33.33% |
| Kami-Sama vs Fahkumram | 8–1 | 88.89% |
| Kami-Sama vs Leroy | 4–4 | 50.00% |
| Kami-Sama vs Shaheen | 4–3 | 57.14% |
| Kami-Sama vs Eddy | 5–2 | 71.43% |
| Kami-Sama vs Miary Zo | 4–3 | 57.14% |
| Kami-Sama vs Lee | 2–4 | 33.33% |
| Kami-Sama vs Victor | 4–2 | 66.67% |
| Kami-Sama vs Jack-8 | 4–1 | 80.00% |
| Kami-Sama vs Anna | 2–3 | 40.00% |
| Kami-Sama vs Nina | 1–3 | 25.00% |
| Kami-Sama vs Zafina | 2–2 | 50.00% |
| Kami-Sama vs Clive | 2–2 | 50.00% |
| Kami-Sama vs Alisa | 1–2 | 33.33% |
| Kami-Sama vs Claudio | 1–0 | 100.00% |
| Kami-Sama 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.