| 09_10_20 vs Kazuya | 35–25–1 | 58.33% |
| 09_10_20 vs Paul | 27–22 | 55.10% |
| 09_10_20 vs Jin | 26–18 | 59.09% |
| 09_10_20 vs Dragunov | 30–12 | 71.43% |
| 09_10_20 vs Hwoarang | 25–9 | 73.53% |
| 09_10_20 vs Bryan | 19–11 | 63.33% |
| 09_10_20 vs Yoshimitsu | 13–15 | 46.43% |
| 09_10_20 vs Reina | 14–13 | 51.85% |
| 09_10_20 vs Law | 13–12 | 52.00% |
| 09_10_20 vs King | 13–11 | 54.17% |
| 09_10_20 vs Steve | 12–10 | 54.55% |
| 09_10_20 vs Lili | 12–10 | 54.55% |
| 09_10_20 vs Feng | 9–10 | 47.37% |
| 09_10_20 vs Victor | 11–7 | 61.11% |
| 09_10_20 vs Alisa | 6–11 | 35.29% |
| 09_10_20 vs Jun | 7–10 | 41.18% |
| 09_10_20 vs Kuma | 6–9 | 40.00% |
| 09_10_20 vs Clive | 6–9 | 40.00% |
| 09_10_20 vs Nina | 6–8 | 42.86% |
| 09_10_20 vs Lee | 9–4 | 69.23% |
| 09_10_20 vs Jack-8 | 5–7 | 41.67% |
| 09_10_20 vs Azucena | 6–6 | 50.00% |
| 09_10_20 vs Asuka | 4–7 | 36.36% |
| 09_10_20 vs Claudio | 8–3 | 72.73% |
| 09_10_20 vs Xiaoyu | 5–4 | 55.56% |
| 09_10_20 vs Devil Jin | 3–6 | 33.33% |
| 09_10_20 vs Lars | 2–7 | 22.22% |
| 09_10_20 vs Shaheen | 4–4 | 50.00% |
| 09_10_20 vs Eddy | 4–4 | 50.00% |
| 09_10_20 vs Heihachi | 5–3 | 62.50% |
| 09_10_20 vs Lidia | 2–5 | 28.57% |
| 09_10_20 vs Leo | 4–2 | 66.67% |
| 09_10_20 vs Leroy | 5–1 | 83.33% |
| 09_10_20 vs Raven | 4–1 | 80.00% |
| 09_10_20 vs Panda | 2–1 | 66.67% |
| 09_10_20 vs Zafina | 3–0 | 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.