| Oct05 vs Reina | 66–123 | 34.92% |
| Oct05 vs Kazuya | 51–117 | 30.36% |
| Oct05 vs Dragunov | 21–136 | 13.38% |
| Oct05 vs King | 47–105 | 30.92% |
| Oct05 vs Steve | 40–109 | 26.85% |
| Oct05 vs Jin | 34–110 | 23.61% |
| Oct05 vs Bryan | 23–85 | 21.30% |
| Oct05 vs Heihachi | 28–70 | 28.57% |
| Oct05 vs Law | 12–85 | 12.37% |
| Oct05 vs Hwoarang | 24–69 | 25.81% |
| Oct05 vs Lili | 35–58 | 37.63% |
| Oct05 vs Lidia | 29–64 | 31.18% |
| Oct05 vs Paul | 32–57 | 35.96% |
| Oct05 vs Victor | 22–66 | 25.00% |
| Oct05 vs Jun | 15–72 | 17.24% |
| Oct05 vs Yoshimitsu | 16–63 | 20.25% |
| Oct05 vs Asuka | 21–58 | 26.58% |
| Oct05 vs Devil Jin | 19–56 | 25.33% |
| Oct05 vs Eddy | 15–49 | 23.44% |
| Oct05 vs Alisa | 21–41 | 33.87% |
| Oct05 vs Nina | 17–43 | 28.33% |
| Oct05 vs Lee | 24–25 | 48.98% |
| Oct05 vs Clive | 12–37 | 24.49% |
| Oct05 vs Lars | 5–41 | 10.87% |
| Oct05 vs Leo | 15–27 | 35.71% |
| Oct05 vs Feng | 4–37 | 9.76% |
| Oct05 vs Claudio | 5–35 | 12.50% |
| Oct05 vs Kuma | 4–35 | 10.26% |
| Oct05 vs Leroy | 12–22 | 35.29% |
| Oct05 vs Xiaoyu | 7–25 | 21.88% |
| Oct05 vs Azucena | 5–21 | 19.23% |
| Oct05 vs Panda | 5–15 | 25.00% |
| Oct05 vs Zafina | 2–18 | 10.00% |
| Oct05 vs Raven | 4–15 | 21.05% |
| Oct05 vs Jack-8 | 3–15 | 16.67% |
| Oct05 vs Shaheen | 2–5 | 28.57% |
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.