| MSFT_ vs Bryan | 127–77 | 62.25% |
| MSFT_ vs Kazuya | 120–67 | 64.17% |
| MSFT_ vs Jin | 106–52 | 67.09% |
| MSFT_ vs King | 93–50 | 65.03% |
| MSFT_ vs Steve | 81–52 | 60.90% |
| MSFT_ vs Dragunov | 64–67 | 48.85% |
| MSFT_ vs Hwoarang | 56–62 | 47.46% |
| MSFT_ vs Law | 74–43 | 63.25% |
| MSFT_ vs Yoshimitsu | 63–52 | 54.78% |
| MSFT_ vs Lee | 46–65 | 41.44% |
| MSFT_ vs Reina | 44–54 | 44.90% |
| MSFT_ vs Paul | 47–36 | 56.63% |
| MSFT_ vs Xiaoyu | 39–41 | 48.75% |
| MSFT_ vs Lars | 44–34 | 56.41% |
| MSFT_ vs Devil Jin | 38–31 | 55.07% |
| MSFT_ vs Jack-8 | 23–43 | 34.85% |
| MSFT_ vs Eddy | 38–21 | 64.41% |
| MSFT_ vs Alisa | 30–25 | 54.55% |
| MSFT_ vs Victor | 30–21 | 58.82% |
| MSFT_ vs Feng | 35–15 | 70.00% |
| MSFT_ vs Kuma | 24–25 | 48.98% |
| MSFT_ vs Claudio | 24–23 | 51.06% |
| MSFT_ vs Nina | 23–24 | 48.94% |
| MSFT_ vs Jun | 29–17 | 63.04% |
| MSFT_ vs Lili | 19–26 | 42.22% |
| MSFT_ vs Asuka | 27–15 | 64.29% |
| MSFT_ vs Leo | 19–18 | 51.35% |
| MSFT_ vs Lidia | 7–25 | 21.88% |
| MSFT_ vs Leroy | 21–10 | 67.74% |
| MSFT_ vs Azucena | 17–13 | 56.67% |
| MSFT_ vs Raven | 10–15 | 40.00% |
| MSFT_ vs Shaheen | 3–16 | 15.79% |
| MSFT_ vs Clive | 4–9 | 30.77% |
| MSFT_ vs Panda | 1–8 | 11.11% |
| MSFT_ vs Zafina | 3–2 | 60.00% |
| MSFT_ vs Heihachi | 2–2 | 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.