| _qT_ vs King | 74–66 | 52.86% |
| _qT_ vs Bryan | 60–65 | 48.00% |
| _qT_ vs Kazuya | 56–55 | 50.45% |
| _qT_ vs Steve | 57–51 | 52.78% |
| _qT_ vs Reina | 40–53 | 43.01% |
| _qT_ vs Fahkumram | 45–36 | 55.56% |
| _qT_ vs Heihachi | 36–44 | 45.00% |
| _qT_ vs Hwoarang | 28–49 | 36.36% |
| _qT_ vs Dragunov | 38–37 | 50.67% |
| _qT_ vs Law | 25–41 | 37.88% |
| _qT_ vs Lars | 26–39 | 40.00% |
| _qT_ vs Yoshimitsu | 26–38 | 40.62% |
| _qT_ vs Jin | 35–29 | 54.69% |
| _qT_ vs Asuka | 19–35 | 35.19% |
| _qT_ vs Azucena | 26–28 | 48.15% |
| _qT_ vs Paul | 20–32 | 38.46% |
| _qT_ vs Lili | 26–26 | 50.00% |
| _qT_ vs Jun | 21–30 | 41.18% |
| _qT_ vs Lee | 21–29 | 42.00% |
| _qT_ vs Lidia | 25–23 | 52.08% |
| _qT_ vs Nina | 18–28 | 39.13% |
| _qT_ vs Xiaoyu | 28–15 | 65.12% |
| _qT_ vs Clive | 16–19 | 45.71% |
| _qT_ vs Anna | 18–15 | 54.55% |
| _qT_ vs Jack-8 | 16–15 | 51.61% |
| _qT_ vs Leo | 12–19 | 38.71% |
| _qT_ vs Devil Jin | 11–18 | 37.93% |
| _qT_ vs Raven | 11–17 | 39.29% |
| _qT_ vs Eddy | 16–12 | 57.14% |
| _qT_ vs Zafina | 9–17 | 34.62% |
| _qT_ vs Feng | 11–12 | 47.83% |
| _qT_ vs Leroy | 12–11 | 52.17% |
| _qT_ vs Alisa | 12–10 | 54.55% |
| _qT_ vs Armor King | 5–14 | 26.32% |
| _qT_ vs Claudio | 9–8 | 52.94% |
| _qT_ vs Victor | 11–6 | 64.71% |
| _qT_ vs Shaheen | 4–9 | 30.77% |
| _qT_ vs Kuma | 5–8 | 38.46% |
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.