| thiefs vs Bryan | 96–115 | 45.50% |
| thiefs vs Jin | 106–93 | 53.27% |
| thiefs vs King | 113–75 | 60.11% |
| thiefs vs Kazuya | 107–73 | 59.44% |
| thiefs vs Steve | 82–63 | 56.55% |
| thiefs vs Paul | 67–76 | 46.85% |
| thiefs vs Dragunov | 57–82 | 41.01% |
| thiefs vs Reina | 69–63 | 52.27% |
| thiefs vs Devil Jin | 71–57 | 55.47% |
| thiefs vs Hwoarang | 59–56 | 51.30% |
| thiefs vs Lee | 45–59 | 43.27% |
| thiefs vs Victor | 54–41 | 56.84% |
| thiefs vs Yoshimitsu | 47–47 | 50.00% |
| thiefs vs Lili | 48–46 | 51.06% |
| thiefs vs Asuka | 43–47 | 47.78% |
| thiefs vs Lars | 43–43 | 50.00% |
| thiefs vs Jack-8 | 41–43 | 48.81% |
| thiefs vs Azucena | 43–35 | 55.13% |
| thiefs vs Jun | 29–39 | 42.65% |
| thiefs vs Raven | 24–44 | 35.29% |
| thiefs vs Law | 29–30 | 49.15% |
| thiefs vs Feng | 28–28 | 50.00% |
| thiefs vs Alisa | 17–38 | 30.91% |
| thiefs vs Lidia | 23–32 | 41.82% |
| thiefs vs Claudio | 23–28 | 45.10% |
| thiefs vs Eddy | 19–32 | 37.25% |
| thiefs vs Leo | 29–20 | 59.18% |
| thiefs vs Shaheen | 16–31 | 34.04% |
| thiefs vs Zafina | 12–33 | 26.67% |
| thiefs vs Nina | 14–23 | 37.84% |
| thiefs vs Xiaoyu | 13–22 | 37.14% |
| thiefs vs Leroy | 16–16 | 50.00% |
| thiefs vs Kuma | 16–15 | 51.61% |
| thiefs vs Panda | 8–7 | 53.33% |
| thiefs vs Heihachi | 2–2 | 50.00% |
| thiefs vs Clive | 0–4 | 0.00% |
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.