| K-shima vs King | 183–162 | 53.04% |
| K-shima vs Hwoarang | 177–155 | 53.31% |
| K-shima vs Bryan | 166–165 | 50.15% |
| K-shima vs Kazuya | 164–126 | 56.55% |
| K-shima vs Jin | 144–139 | 50.88% |
| K-shima vs Paul | 116–140 | 45.31% |
| K-shima vs Dragunov | 140–111 | 55.78% |
| K-shima vs Reina | 101–118 | 46.12% |
| K-shima vs Asuka | 93–120 | 43.66% |
| K-shima vs Armor King | 91–122 | 42.72% |
| K-shima vs Feng | 103–105 | 49.52% |
| K-shima vs Lars | 115–88 | 56.65% |
| K-shima vs Lili | 113–84 | 57.36% |
| K-shima vs Fahkumram | 100–94 | 51.55% |
| K-shima vs Eddy | 98–94 | 51.04% |
| K-shima vs Law | 102–80 | 56.04% |
| K-shima vs Jack-8 | 88–88 | 50.00% |
| K-shima vs Jun | 81–95 | 46.02% |
| K-shima vs Steve | 79–94 | 45.66% |
| K-shima vs Devil Jin | 88–82 | 51.76% |
| K-shima vs Xiaoyu | 85–82 | 50.90% |
| K-shima vs Victor | 65–100 | 39.39% |
| K-shima vs Lee | 79–82 | 49.07% |
| K-shima vs Yoshimitsu | 73–83–1 | 46.79% |
| K-shima vs Nina | 84–71 | 54.19% |
| K-shima vs Clive | 78–76 | 50.65% |
| K-shima vs Alisa | 85–66 | 56.29% |
| K-shima vs Leroy | 50–96 | 34.25% |
| K-shima vs Claudio | 67–70 | 48.91% |
| K-shima vs Heihachi | 56–81 | 40.88% |
| K-shima vs Azucena | 71–63 | 52.99% |
| K-shima vs Zafina | 69–62 | 52.67% |
| K-shima vs Leo | 59–61 | 49.17% |
| K-shima vs Lidia | 53–55 | 49.07% |
| K-shima vs Raven | 45–56 | 44.55% |
| K-shima vs Anna | 42–56 | 42.86% |
| K-shima vs Shaheen | 52–43 | 54.74% |
| K-shima vs Kuma | 38–54 | 41.30% |
| K-shima vs Panda | 15–22 | 40.54% |
| K-shima vs Miary Zo | 5–5 | 50.00% |
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.