| aw tysm vs Jin | 182–159 | 53.37% |
| aw tysm vs Bryan | 157–153 | 50.65% |
| aw tysm vs Hwoarang | 138–126 | 52.27% |
| aw tysm vs King | 140–121 | 53.64% |
| aw tysm vs Dragunov | 152–109 | 58.24% |
| aw tysm vs Kazuya | 138–121 | 53.28% |
| aw tysm vs Yoshimitsu | 110–102 | 51.89% |
| aw tysm vs Lili | 118–79 | 59.90% |
| aw tysm vs Law | 94–100 | 48.45% |
| aw tysm vs Steve | 104–84 | 55.32% |
| aw tysm vs Paul | 91–92 | 49.73% |
| aw tysm vs Reina | 105–77 | 57.69% |
| aw tysm vs Lars | 91–81 | 52.91% |
| aw tysm vs Heihachi | 101–68 | 59.76% |
| aw tysm vs Xiaoyu | 93–66 | 58.49% |
| aw tysm vs Devil Jin | 88–68 | 56.41% |
| aw tysm vs Victor | 79–76 | 50.97% |
| aw tysm vs Asuka | 69–71 | 49.29% |
| aw tysm vs Lee | 69–67 | 50.74% |
| aw tysm vs Jun | 64–71 | 47.41% |
| aw tysm vs Leo | 54–53 | 50.47% |
| aw tysm vs Alisa | 55–48 | 53.40% |
| aw tysm vs Eddy | 43–46 | 48.31% |
| aw tysm vs Feng | 55–33 | 62.50% |
| aw tysm vs Azucena | 42–45 | 48.28% |
| aw tysm vs Nina | 47–39 | 54.65% |
| aw tysm vs Lidia | 40–39 | 50.63% |
| aw tysm vs Zafina | 44–29–1 | 60.27% |
| aw tysm vs Leroy | 29–45 | 39.19% |
| aw tysm vs Jack-8 | 34–39 | 46.58% |
| aw tysm vs Claudio | 28–44 | 38.89% |
| aw tysm vs Fahkumram | 33–35 | 48.53% |
| aw tysm vs Armor King | 33–31 | 51.56% |
| aw tysm vs Clive | 25–34 | 42.37% |
| aw tysm vs Raven | 32–25 | 56.14% |
| aw tysm vs Shaheen | 28–27 | 50.91% |
| aw tysm vs Kuma | 17–38 | 30.91% |
| aw tysm vs Anna | 21–24 | 46.67% |
| aw tysm vs Miary Zo | 24–18 | 57.14% |
| aw tysm vs Panda | 18–11 | 62.07% |
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.