| qwerty vs Kazuya | 114–174 | 39.58% |
| qwerty vs King | 84–125 | 40.19% |
| qwerty vs Bryan | 71–131–1 | 35.15% |
| qwerty vs Reina | 74–112 | 39.78% |
| qwerty vs Dragunov | 84–99 | 45.90% |
| qwerty vs Armor King | 66–107 | 38.15% |
| qwerty vs Fahkumram | 68–100 | 40.48% |
| qwerty vs Paul | 76–91 | 45.51% |
| qwerty vs Asuka | 77–82 | 48.43% |
| qwerty vs Jin | 53–101 | 34.42% |
| qwerty vs Steve | 67–77 | 46.53% |
| qwerty vs Lili | 50–88 | 36.23% |
| qwerty vs Heihachi | 56–76 | 42.42% |
| qwerty vs Law | 41–80 | 33.88% |
| qwerty vs Hwoarang | 40–78 | 33.90% |
| qwerty vs Anna | 44–64 | 40.74% |
| qwerty vs Jun | 41–54 | 43.16% |
| qwerty vs Victor | 34–58 | 36.96% |
| qwerty vs Devil Jin | 26–60 | 30.23% |
| qwerty vs Lidia | 23–56 | 29.11% |
| qwerty vs Clive | 28–44 | 38.89% |
| qwerty vs Feng | 30–39 | 43.48% |
| qwerty vs Lars | 23–40 | 36.51% |
| qwerty vs Claudio | 26–36 | 41.94% |
| qwerty vs Lee | 26–35 | 42.62% |
| qwerty vs Azucena | 22–38 | 36.67% |
| qwerty vs Xiaoyu | 22–36 | 37.93% |
| qwerty vs Nina | 23–35 | 39.66% |
| qwerty vs Yoshimitsu | 23–34 | 40.35% |
| qwerty vs Eddy | 15–34 | 30.61% |
| qwerty vs Leroy | 11–37 | 22.92% |
| qwerty vs Leo | 20–24 | 45.45% |
| qwerty vs Jack-8 | 10–22 | 31.25% |
| qwerty vs Shaheen | 17–13 | 56.67% |
| qwerty vs Alisa | 14–15 | 48.28% |
| qwerty vs Kuma | 8–20 | 28.57% |
| qwerty vs Zafina | 7–11 | 38.89% |
| qwerty vs Raven | 10–5 | 66.67% |
| qwerty vs Miary Zo | 7–6 | 53.85% |
| qwerty vs Panda | 4–6 | 40.00% |
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.