| _ulas_ vs Miary Zo | 21–20 | 51.22% |
| _ulas_ vs Jin | 24–15 | 61.54% |
| _ulas_ vs Kazuya | 16–20 | 44.44% |
| _ulas_ vs King | 18–11 | 62.07% |
| _ulas_ vs Steve | 19–7 | 73.08% |
| _ulas_ vs Law | 13–11 | 54.17% |
| _ulas_ vs Armor King | 9–15 | 37.50% |
| _ulas_ vs Fahkumram | 12–11 | 52.17% |
| _ulas_ vs Heihachi | 9–13 | 40.91% |
| _ulas_ vs Asuka | 7–14 | 33.33% |
| _ulas_ vs Dragunov | 13–7 | 65.00% |
| _ulas_ vs Bryan | 11–6 | 64.71% |
| _ulas_ vs Victor | 11–5 | 68.75% |
| _ulas_ vs Hwoarang | 11–4 | 73.33% |
| _ulas_ vs Lee | 8–7 | 53.33% |
| _ulas_ vs Paul | 8–6 | 57.14% |
| _ulas_ vs Lars | 8–6 | 57.14% |
| _ulas_ vs Reina | 4–10 | 28.57% |
| _ulas_ vs Jun | 6–7 | 46.15% |
| _ulas_ vs Xiaoyu | 4–7 | 36.36% |
| _ulas_ vs Lili | 5–6 | 45.45% |
| _ulas_ vs Eddy | 4–6 | 40.00% |
| _ulas_ vs Lidia | 5–5 | 50.00% |
| _ulas_ vs Clive | 7–3 | 70.00% |
| _ulas_ vs Yoshimitsu | 4–5 | 44.44% |
| _ulas_ vs Devil Jin | 7–1 | 87.50% |
| _ulas_ vs Alisa | 5–2 | 71.43% |
| _ulas_ vs Nina | 5–2 | 71.43% |
| _ulas_ vs Kuma | 4–3 | 57.14% |
| _ulas_ vs Feng | 3–3 | 50.00% |
| _ulas_ vs Leroy | 4–2 | 66.67% |
| _ulas_ vs Claudio | 1–4 | 20.00% |
| _ulas_ vs Azucena | 3–2 | 60.00% |
| _ulas_ vs Raven | 4–1 | 80.00% |
| _ulas_ vs Leo | 1–3 | 25.00% |
| _ulas_ vs Anna | 2–1 | 66.67% |
| _ulas_ vs Jack-8 | 0–2 | 0.00% |
| _ulas_ vs Shaheen | 1–1 | 50.00% |
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.