| Tex_ vs Kazuya | 85–75 | 53.12% |
| Tex_ vs King | 64–77 | 45.39% |
| Tex_ vs Reina | 85–55 | 60.71% |
| Tex_ vs Jin | 66–61 | 51.97% |
| Tex_ vs Dragunov | 51–68 | 42.86% |
| Tex_ vs Steve | 66–49 | 57.39% |
| Tex_ vs Hwoarang | 51–54 | 48.57% |
| Tex_ vs Bryan | 43–62 | 40.95% |
| Tex_ vs Clive | 52–44 | 54.17% |
| Tex_ vs Paul | 40–49 | 44.94% |
| Tex_ vs Jun | 37–46 | 44.58% |
| Tex_ vs Asuka | 38–35 | 52.05% |
| Tex_ vs Law | 35–36 | 49.30% |
| Tex_ vs Lili | 29–39 | 42.65% |
| Tex_ vs Yoshimitsu | 24–36 | 40.00% |
| Tex_ vs Eddy | 25–33 | 43.10% |
| Tex_ vs Victor | 29–28 | 50.88% |
| Tex_ vs Lidia | 28–29 | 49.12% |
| Tex_ vs Xiaoyu | 22–34 | 39.29% |
| Tex_ vs Azucena | 30–26 | 53.57% |
| Tex_ vs Alisa | 19–26 | 42.22% |
| Tex_ vs Lee | 15–30 | 33.33% |
| Tex_ vs Feng | 21–23 | 47.73% |
| Tex_ vs Heihachi | 17–27 | 38.64% |
| Tex_ vs Lars | 17–23 | 42.50% |
| Tex_ vs Jack-8 | 16–21 | 43.24% |
| Tex_ vs Nina | 22–14 | 61.11% |
| Tex_ vs Devil Jin | 16–17 | 48.48% |
| Tex_ vs Claudio | 21–12 | 63.64% |
| Tex_ vs Leroy | 13–17 | 43.33% |
| Tex_ vs Raven | 15–15 | 50.00% |
| Tex_ vs Leo | 11–14 | 44.00% |
| Tex_ vs Kuma | 9–12 | 42.86% |
| Tex_ vs Fahkumram | 9–12 | 42.86% |
| Tex_ vs Zafina | 10–9 | 52.63% |
| Tex_ vs Shaheen | 11–7 | 61.11% |
| Tex_ vs Panda | 6–7 | 46.15% |
| Tex_ vs Anna | 2–2 | 50.00% |
| Tex_ vs Miary Zo | 2–1 | 66.67% |
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.