| kimo vs Hwoarang | 77–68 | 53.10% |
| kimo vs Jin | 82–50 | 62.12% |
| kimo vs Kazuya | 48–48 | 50.00% |
| kimo vs Lili | 47–42 | 52.81% |
| kimo vs Law | 48–36 | 57.14% |
| kimo vs Heihachi | 44–37 | 54.32% |
| kimo vs Dragunov | 44–36 | 55.00% |
| kimo vs Leroy | 46–26 | 63.89% |
| kimo vs King | 42–29 | 59.15% |
| kimo vs Bryan | 43–28 | 60.56% |
| kimo vs Paul | 42–28 | 60.00% |
| kimo vs Yoshimitsu | 29–41 | 41.43% |
| kimo vs Reina | 32–34 | 48.48% |
| kimo vs Lars | 28–31 | 47.46% |
| kimo vs Steve | 37–20 | 64.91% |
| kimo vs Jack-8 | 31–24 | 56.36% |
| kimo vs Devil Jin | 32–23 | 58.18% |
| kimo vs Anna | 29–26 | 52.73% |
| kimo vs Victor | 29–21 | 58.00% |
| kimo vs Jun | 27–19 | 58.70% |
| kimo vs Lee | 20–22 | 47.62% |
| kimo vs Xiaoyu | 17–24 | 41.46% |
| kimo vs Asuka | 25–16 | 60.98% |
| kimo vs Alisa | 21–14 | 60.00% |
| kimo vs Raven | 19–16 | 54.29% |
| kimo vs Feng | 23–11 | 67.65% |
| kimo vs Zafina | 23–11 | 67.65% |
| kimo vs Azucena | 17–17 | 50.00% |
| kimo vs Lidia | 15–11 | 57.69% |
| kimo vs Claudio | 12–13 | 48.00% |
| kimo vs Clive | 16–8 | 66.67% |
| kimo vs Nina | 18–5 | 78.26% |
| kimo vs Fahkumram | 13–10 | 56.52% |
| kimo vs Leo | 9–12 | 42.86% |
| kimo vs Eddy | 14–6 | 70.00% |
| kimo vs Kuma | 5–11 | 31.25% |
| kimo vs Shaheen | 8–6 | 57.14% |
| kimo vs Armor King | 1–4 | 20.00% |
| kimo 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.