| kimbob vs Kazuya | 32–15 | 68.09% |
| kimbob vs Paul | 22–18 | 55.00% |
| kimbob vs Heihachi | 28–12 | 70.00% |
| kimbob vs Dragunov | 25–12 | 67.57% |
| kimbob vs Reina | 29–7 | 80.56% |
| kimbob vs King | 15–17 | 46.88% |
| kimbob vs Hwoarang | 16–13 | 55.17% |
| kimbob vs Lili | 22–7 | 75.86% |
| kimbob vs Jin | 15–12 | 55.56% |
| kimbob vs Asuka | 17–9 | 65.38% |
| kimbob vs Leo | 22–2 | 91.67% |
| kimbob vs Feng | 14–9 | 60.87% |
| kimbob vs Victor | 17–4 | 80.95% |
| kimbob vs Jun | 14–6 | 70.00% |
| kimbob vs Xiaoyu | 15–4 | 78.95% |
| kimbob vs Steve | 9–10 | 47.37% |
| kimbob vs Law | 13–5 | 72.22% |
| kimbob vs Yoshimitsu | 8–10 | 44.44% |
| kimbob vs Bryan | 13–1 | 92.86% |
| kimbob vs Devil Jin | 11–3 | 78.57% |
| kimbob vs Eddy | 7–6 | 53.85% |
| kimbob vs Jack-8 | 6–6 | 50.00% |
| kimbob vs Lee | 4–6 | 40.00% |
| kimbob vs Azucena | 4–6 | 40.00% |
| kimbob vs Raven | 2–6 | 25.00% |
| kimbob vs Lars | 5–2 | 71.43% |
| kimbob vs Claudio | 2–5 | 28.57% |
| kimbob vs Shaheen | 3–4 | 42.86% |
| kimbob vs Kuma | 2–5 | 28.57% |
| kimbob vs Zafina | 3–4 | 42.86% |
| kimbob vs Lidia | 3–4 | 42.86% |
| kimbob vs Alisa | 2–4 | 33.33% |
| kimbob vs Nina | 3–2 | 60.00% |
| kimbob vs Leroy | 4–0 | 100.00% |
| kimbob vs Anna | 2–1 | 66.67% |
| kimbob vs Panda | 0–2 | 0.00% |
| kimbob vs Clive | 1–1 | 50.00% |
| kimbob vs Fahkumram | 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.