| dixon yamada vs Jin | 82–88 | 48.24% |
| dixon yamada vs Law | 88–74 | 54.32% |
| dixon yamada vs Hwoarang | 71–78 | 47.65% |
| dixon yamada vs King | 90–58 | 60.81% |
| dixon yamada vs Steve | 87–60 | 59.18% |
| dixon yamada vs Reina | 70–71 | 49.65% |
| dixon yamada vs Kazuya | 75–64 | 53.96% |
| dixon yamada vs Bryan | 62–76 | 44.93% |
| dixon yamada vs Lars | 81–53 | 60.45% |
| dixon yamada vs Dragunov | 66–63 | 51.16% |
| dixon yamada vs Yoshimitsu | 72–54 | 57.14% |
| dixon yamada vs Lili | 64–51 | 55.65% |
| dixon yamada vs Lee | 66–48 | 57.89% |
| dixon yamada vs Paul | 55–58 | 48.67% |
| dixon yamada vs Nina | 45–63 | 41.67% |
| dixon yamada vs Victor | 58–45 | 56.31% |
| dixon yamada vs Zafina | 47–51 | 47.96% |
| dixon yamada vs Azucena | 47–46 | 50.54% |
| dixon yamada vs Asuka | 48–42 | 53.33% |
| dixon yamada vs Devil Jin | 44–44 | 50.00% |
| dixon yamada vs Feng | 45–43 | 51.14% |
| dixon yamada vs Leo | 41–42 | 49.40% |
| dixon yamada vs Raven | 38–40 | 48.72% |
| dixon yamada vs Jack-8 | 38–39 | 49.35% |
| dixon yamada vs Xiaoyu | 50–26 | 65.79% |
| dixon yamada vs Eddy | 42–30 | 58.33% |
| dixon yamada vs Alisa | 28–40 | 41.18% |
| dixon yamada vs Claudio | 38–27 | 58.46% |
| dixon yamada vs Jun | 32–32 | 50.00% |
| dixon yamada vs Shaheen | 26–21 | 55.32% |
| dixon yamada vs Kuma | 19–27 | 41.30% |
| dixon yamada vs Leroy | 21–24 | 46.67% |
| dixon yamada vs Lidia | 10–22 | 31.25% |
| dixon yamada vs Panda | 9–12 | 42.86% |
| dixon yamada vs Heihachi | 6–8 | 42.86% |
| dixon yamada vs Clive | 5–5 | 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.