| No_name vs Jin | 233–243 | 48.95% |
| No_name vs King | 209–218 | 48.95% |
| No_name vs Kazuya | 191–177 | 51.90% |
| No_name vs Bryan | 142–122 | 53.79% |
| No_name vs Reina | 118–146 | 44.70% |
| No_name vs Law | 126–103 | 55.02% |
| No_name vs Hwoarang | 100–127 | 44.05% |
| No_name vs Eddy | 102–123 | 45.33% |
| No_name vs Dragunov | 92–115 | 44.44% |
| No_name vs Heihachi | 97–99 | 49.49% |
| No_name vs Paul | 93–101 | 47.94% |
| No_name vs Lili | 99–93 | 51.56% |
| No_name vs Steve | 109–74 | 59.56% |
| No_name vs Nina | 101–82 | 55.19% |
| No_name vs Devil Jin | 78–84 | 48.15% |
| No_name vs Feng | 77–79 | 49.36% |
| No_name vs Alisa | 74–75 | 49.66% |
| No_name vs Asuka | 85–58 | 59.44% |
| No_name vs Azucena | 67–75 | 47.18% |
| No_name vs Jun | 76–64 | 54.29% |
| No_name vs Yoshimitsu | 60–75 | 44.44% |
| No_name vs Lee | 78–56 | 58.21% |
| No_name vs Leroy | 54–67 | 44.63% |
| No_name vs Xiaoyu | 60–52 | 53.57% |
| No_name vs Lars | 51–59 | 46.36% |
| No_name vs Lidia | 62–48 | 56.36% |
| No_name vs Clive | 35–60 | 36.84% |
| No_name vs Jack-8 | 37–51 | 42.05% |
| No_name vs Zafina | 32–41 | 43.84% |
| No_name vs Raven | 33–39 | 45.83% |
| No_name vs Armor King | 36–36 | 50.00% |
| No_name vs Leo | 23–45 | 33.82% |
| No_name vs Victor | 27–34 | 44.26% |
| No_name vs Claudio | 24–34 | 41.38% |
| No_name vs Shaheen | 28–29 | 49.12% |
| No_name vs Fahkumram | 22–32 | 40.74% |
| No_name vs Kuma | 11–32 | 25.58% |
| No_name vs Anna | 11–18 | 37.93% |
| No_name vs Miary Zo | 13–13 | 50.00% |
| No_name vs Panda | 5–13 | 27.78% |
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.