| oms1029 vs Kazuya | 34–31 | 52.31% |
| oms1029 vs Dragunov | 24–23 | 51.06% |
| oms1029 vs King | 21–25 | 45.65% |
| oms1029 vs Paul | 24–19 | 55.81% |
| oms1029 vs Hwoarang | 14–21 | 40.00% |
| oms1029 vs Yoshimitsu | 15–18 | 45.45% |
| oms1029 vs Reina | 26–7 | 78.79% |
| oms1029 vs Jin | 16–13 | 55.17% |
| oms1029 vs Asuka | 16–13 | 55.17% |
| oms1029 vs Steve | 10–18 | 35.71% |
| oms1029 vs Bryan | 15–11 | 57.69% |
| oms1029 vs Victor | 11–10 | 52.38% |
| oms1029 vs Alisa | 9–11 | 45.00% |
| oms1029 vs Lidia | 9–10 | 47.37% |
| oms1029 vs Jun | 8–10 | 44.44% |
| oms1029 vs Leo | 3–13 | 18.75% |
| oms1029 vs Xiaoyu | 9–6 | 60.00% |
| oms1029 vs Claudio | 6–9 | 40.00% |
| oms1029 vs Devil Jin | 7–5 | 58.33% |
| oms1029 vs Lili | 7–4 | 63.64% |
| oms1029 vs Lars | 2–9 | 18.18% |
| oms1029 vs Jack-8 | 5–4 | 55.56% |
| oms1029 vs Heihachi | 7–2 | 77.78% |
| oms1029 vs Feng | 4–4 | 50.00% |
| oms1029 vs Nina | 5–3 | 62.50% |
| oms1029 vs Azucena | 6–2 | 75.00% |
| oms1029 vs Eddy | 3–5 | 37.50% |
| oms1029 vs Law | 2–5 | 28.57% |
| oms1029 vs Lee | 3–4 | 42.86% |
| oms1029 vs Leroy | 4–3 | 57.14% |
| oms1029 vs Shaheen | 3–3 | 50.00% |
| oms1029 vs Kuma | 2–3 | 40.00% |
| oms1029 vs Clive | 5–0 | 100.00% |
| oms1029 vs Raven | 2–2 | 50.00% |
| oms1029 vs Anna | 3–1 | 75.00% |
| oms1029 vs Panda | 2–0 | 100.00% |
| oms1029 vs Zafina | 0–2 | 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.