| KIMSAFO vs Hwoarang | 88–67 | 56.77% |
| KIMSAFO vs Kazuya | 76–66 | 53.52% |
| KIMSAFO vs Dragunov | 59–78 | 43.07% |
| KIMSAFO vs Paul | 81–45 | 64.29% |
| KIMSAFO vs Bryan | 60–59 | 50.42% |
| KIMSAFO vs King | 63–54 | 53.85% |
| KIMSAFO vs Jin | 68–47 | 59.13% |
| KIMSAFO vs Lili | 53–55 | 49.07% |
| KIMSAFO vs Reina | 61–45 | 57.55% |
| KIMSAFO vs Law | 56–33 | 62.92% |
| KIMSAFO vs Yoshimitsu | 43–41 | 51.19% |
| KIMSAFO vs Steve | 42–31 | 57.53% |
| KIMSAFO vs Victor | 43–28 | 60.56% |
| KIMSAFO vs Lee | 35–34 | 50.72% |
| KIMSAFO vs Jack-8 | 40–27 | 59.70% |
| KIMSAFO vs Claudio | 33–34 | 49.25% |
| KIMSAFO vs Lars | 32–33 | 49.23% |
| KIMSAFO vs Devil Jin | 37–26 | 58.73% |
| KIMSAFO vs Feng | 35–28 | 55.56% |
| KIMSAFO vs Leroy | 39–24 | 61.90% |
| KIMSAFO vs Armor King | 29–34 | 46.03% |
| KIMSAFO vs Asuka | 31–23 | 57.41% |
| KIMSAFO vs Lidia | 32–22 | 59.26% |
| KIMSAFO vs Nina | 27–25 | 51.92% |
| KIMSAFO vs Xiaoyu | 25–24 | 51.02% |
| KIMSAFO vs Azucena | 28–16 | 63.64% |
| KIMSAFO vs Leo | 22–20 | 52.38% |
| KIMSAFO vs Heihachi | 16–23 | 41.03% |
| KIMSAFO vs Alisa | 16–20 | 44.44% |
| KIMSAFO vs Shaheen | 23–11 | 67.65% |
| KIMSAFO vs Raven | 9–24 | 27.27% |
| KIMSAFO vs Clive | 9–23 | 28.12% |
| KIMSAFO vs Miary Zo | 14–17 | 45.16% |
| KIMSAFO vs Anna | 14–16 | 46.67% |
| KIMSAFO vs Jun | 12–16 | 42.86% |
| KIMSAFO vs Zafina | 11–12 | 47.83% |
| KIMSAFO vs Kuma | 16–5 | 76.19% |
| KIMSAFO vs Eddy | 12–8 | 60.00% |
| KIMSAFO vs Fahkumram | 11–5 | 68.75% |
| KIMSAFO vs Panda | 12–3 | 80.00% |
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.