| Sk Losa vs Jin | 26–21 | 55.32% |
| Sk Losa vs Hwoarang | 24–22 | 52.17% |
| Sk Losa vs King | 13–26 | 33.33% |
| Sk Losa vs Steve | 21–13 | 61.76% |
| Sk Losa vs Law | 12–21 | 36.36% |
| Sk Losa vs Kazuya | 15–18 | 45.45% |
| Sk Losa vs Yoshimitsu | 23–7 | 76.67% |
| Sk Losa vs Bryan | 17–12 | 58.62% |
| Sk Losa vs Reina | 16–13 | 55.17% |
| Sk Losa vs Azucena | 17–8 | 68.00% |
| Sk Losa vs Lili | 15–8 | 65.22% |
| Sk Losa vs Victor | 14–8 | 63.64% |
| Sk Losa vs Jun | 10–11 | 47.62% |
| Sk Losa vs Devil Jin | 11–9 | 55.00% |
| Sk Losa vs Dragunov | 11–6 | 64.71% |
| Sk Losa vs Paul | 9–5 | 64.29% |
| Sk Losa vs Claudio | 10–4 | 71.43% |
| Sk Losa vs Nina | 13–1 | 92.86% |
| Sk Losa vs Heihachi | 10–3 | 76.92% |
| Sk Losa vs Asuka | 7–5 | 58.33% |
| Sk Losa vs Lidia | 8–3 | 72.73% |
| Sk Losa vs Feng | 6–4 | 60.00% |
| Sk Losa vs Alisa | 7–2 | 77.78% |
| Sk Losa vs Lars | 6–2 | 75.00% |
| Sk Losa vs Lee | 3–4 | 42.86% |
| Sk Losa vs Leroy | 7–0 | 100.00% |
| Sk Losa vs Eddy | 7–0 | 100.00% |
| Sk Losa vs Xiaoyu | 6–0 | 100.00% |
| Sk Losa vs Clive | 3–2 | 60.00% |
| Sk Losa vs Leo | 2–2 | 50.00% |
| Sk Losa vs Raven | 2–1 | 66.67% |
| Sk Losa vs Miary Zo | 1–2 | 33.33% |
| Sk Losa vs Zafina | 2–0 | 100.00% |
| Sk Losa vs Jack-8 | 1–0 | 100.00% |
| Sk Losa vs Kuma | 0–1 | 0.00% |
| Sk Losa vs Anna | 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.