| t1000 vs Kazuya | 126–125 | 50.20% |
| t1000 vs Jin | 115–119 | 49.15% |
| t1000 vs King | 115–115 | 50.00% |
| t1000 vs Bryan | 95–130 | 42.22% |
| t1000 vs Reina | 104–105 | 49.76% |
| t1000 vs Hwoarang | 85–93 | 47.75% |
| t1000 vs Law | 74–93 | 44.31% |
| t1000 vs Paul | 74–91 | 44.85% |
| t1000 vs Steve | 75–78 | 49.02% |
| t1000 vs Heihachi | 78–66 | 54.17% |
| t1000 vs Lee | 51–67–1 | 43.22% |
| t1000 vs Dragunov | 43–69 | 38.39% |
| t1000 vs Clive | 46–62 | 42.59% |
| t1000 vs Xiaoyu | 43–64 | 40.19% |
| t1000 vs Eddy | 42–64 | 39.62% |
| t1000 vs Jun | 55–50 | 52.38% |
| t1000 vs Azucena | 46–54 | 46.00% |
| t1000 vs Yoshimitsu | 58–40 | 59.18% |
| t1000 vs Nina | 46–51 | 47.42% |
| t1000 vs Lars | 45–49 | 47.87% |
| t1000 vs Asuka | 36–51 | 41.38% |
| t1000 vs Victor | 34–49 | 40.96% |
| t1000 vs Lidia | 43–38 | 53.09% |
| t1000 vs Lili | 36–43 | 45.57% |
| t1000 vs Feng | 29–44 | 39.73% |
| t1000 vs Raven | 26–42 | 38.24% |
| t1000 vs Leo | 40–27 | 59.70% |
| t1000 vs Leroy | 29–36 | 44.62% |
| t1000 vs Devil Jin | 24–30 | 44.44% |
| t1000 vs Jack-8 | 18–26 | 40.91% |
| t1000 vs Alisa | 24–20 | 54.55% |
| t1000 vs Claudio | 15–29 | 34.09% |
| t1000 vs Kuma | 12–23 | 34.29% |
| t1000 vs Zafina | 17–18 | 48.57% |
| t1000 vs Shaheen | 16–13 | 55.17% |
| t1000 vs Panda | 7–9 | 43.75% |
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.