| Komooly vs King | 32–26 | 55.17% |
| Komooly vs Jun | 24–17 | 58.54% |
| Komooly vs Bryan | 20–20 | 50.00% |
| Komooly vs Jin | 21–15 | 58.33% |
| Komooly vs Yoshimitsu | 12–20 | 37.50% |
| Komooly vs Hwoarang | 13–12 | 52.00% |
| Komooly vs Law | 18–6 | 75.00% |
| Komooly vs Kazuya | 13–11 | 54.17% |
| Komooly vs Steve | 8–16 | 33.33% |
| Komooly vs Lili | 10–12 | 45.45% |
| Komooly vs Nina | 11–9 | 55.00% |
| Komooly vs Victor | 13–7 | 65.00% |
| Komooly vs Heihachi | 8–12 | 40.00% |
| Komooly vs Reina | 14–5 | 73.68% |
| Komooly vs Eddy | 7–11 | 38.89% |
| Komooly vs Paul | 9–8 | 52.94% |
| Komooly vs Dragunov | 6–11 | 35.29% |
| Komooly vs Feng | 11–5 | 68.75% |
| Komooly vs Asuka | 4–10 | 28.57% |
| Komooly vs Azucena | 11–3 | 78.57% |
| Komooly vs Lidia | 9–5 | 64.29% |
| Komooly vs Devil Jin | 8–5 | 61.54% |
| Komooly vs Lars | 10–3 | 76.92% |
| Komooly vs Claudio | 3–8 | 27.27% |
| Komooly vs Leroy | 7–4 | 63.64% |
| Komooly vs Xiaoyu | 7–3 | 70.00% |
| Komooly vs Shaheen | 5–5 | 50.00% |
| Komooly vs Lee | 4–5 | 44.44% |
| Komooly vs Clive | 2–7 | 22.22% |
| Komooly vs Leo | 6–1 | 85.71% |
| Komooly vs Jack-8 | 6–0 | 100.00% |
| Komooly vs Kuma | 2–3 | 40.00% |
| Komooly vs Raven | 3–1 | 75.00% |
| Komooly vs Alisa | 0–3 | 0.00% |
| Komooly vs Zafina | 0–2 | 0.00% |
| Komooly 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.