| kohis vs King | 29–24 | 54.72% |
| kohis vs Law | 21–24 | 46.67% |
| kohis vs Steve | 23–22 | 51.11% |
| kohis vs Reina | 27–17 | 61.36% |
| kohis vs Jin | 18–22 | 45.00% |
| kohis vs Dragunov | 21–14 | 60.00% |
| kohis vs Kazuya | 18–16 | 52.94% |
| kohis vs Hwoarang | 19–11 | 63.33% |
| kohis vs Azucena | 15–11 | 57.69% |
| kohis vs Yoshimitsu | 12–12 | 50.00% |
| kohis vs Xiaoyu | 11–13 | 45.83% |
| kohis vs Bryan | 14–9 | 60.87% |
| kohis vs Asuka | 13–10 | 56.52% |
| kohis vs Leo | 12–10 | 54.55% |
| kohis vs Eddy | 7–15 | 31.82% |
| kohis vs Lili | 9–9 | 50.00% |
| kohis vs Lars | 6–12 | 33.33% |
| kohis vs Jun | 6–12 | 33.33% |
| kohis vs Raven | 8–10 | 44.44% |
| kohis vs Paul | 4–13 | 23.53% |
| kohis vs Lee | 7–9 | 43.75% |
| kohis vs Claudio | 8–5 | 61.54% |
| kohis vs Nina | 4–9 | 30.77% |
| kohis vs Leroy | 7–6 | 53.85% |
| kohis vs Victor | 7–6 | 53.85% |
| kohis vs Heihachi | 5–7 | 41.67% |
| kohis vs Devil Jin | 5–6 | 45.45% |
| kohis vs Feng | 5–6 | 45.45% |
| kohis vs Zafina | 5–6 | 45.45% |
| kohis vs Lidia | 6–5 | 54.55% |
| kohis vs Jack-8 | 5–3 | 62.50% |
| kohis vs Alisa | 4–4 | 50.00% |
| kohis vs Kuma | 3–5 | 37.50% |
| kohis vs Shaheen | 6–0 | 100.00% |
| kohis vs Panda | 1–5 | 16.67% |
| kohis vs Clive | 1–4 | 20.00% |
| kohis vs Fahkumram | 3–1 | 75.00% |
| kohis vs Anna | 3–0 | 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.