| Steak-umms vs Kazuya | 13–23 | 36.11% |
| Steak-umms vs Reina | 12–18 | 40.00% |
| Steak-umms vs Law | 13–13 | 50.00% |
| Steak-umms vs Jin | 9–12 | 42.86% |
| Steak-umms vs Yoshimitsu | 9–8 | 52.94% |
| Steak-umms vs Steve | 7–10 | 41.18% |
| Steak-umms vs Hwoarang | 6–10 | 37.50% |
| Steak-umms vs Lili | 8–8 | 50.00% |
| Steak-umms vs Eddy | 3–13 | 18.75% |
| Steak-umms vs King | 9–5 | 64.29% |
| Steak-umms vs Bryan | 9–4 | 69.23% |
| Steak-umms vs Lidia | 5–6 | 45.45% |
| Steak-umms vs Kuma | 6–4 | 60.00% |
| Steak-umms vs Jun | 6–4 | 60.00% |
| Steak-umms vs Nina | 1–8 | 11.11% |
| Steak-umms vs Azucena | 3–6 | 33.33% |
| Steak-umms vs Raven | 3–6 | 33.33% |
| Steak-umms vs Heihachi | 4–5 | 44.44% |
| Steak-umms vs Feng | 3–5 | 37.50% |
| Steak-umms vs Alisa | 4–4 | 50.00% |
| Steak-umms vs Lee | 5–3 | 62.50% |
| Steak-umms vs Paul | 4–3 | 57.14% |
| Steak-umms vs Leo | 3–4 | 42.86% |
| Steak-umms vs Lars | 5–1 | 83.33% |
| Steak-umms vs Shaheen | 4–2 | 66.67% |
| Steak-umms vs Dragunov | 3–2 | 60.00% |
| Steak-umms vs Leroy | 4–1 | 80.00% |
| Steak-umms vs Jack-8 | 2–1 | 66.67% |
| Steak-umms vs Asuka | 2–1 | 66.67% |
| Steak-umms vs Xiaoyu | 0–2 | 0.00% |
| Steak-umms vs Panda | 0–2 | 0.00% |
| Steak-umms vs Zafina | 2–0 | 100.00% |
| Steak-umms vs Victor | 0–2 | 0.00% |
| Steak-umms vs Clive | 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.