| x_TEC_x vs Jin | 88–59 | 59.86% |
| x_TEC_x vs Kazuya | 71–75 | 48.63% |
| x_TEC_x vs King | 59–67 | 46.83% |
| x_TEC_x vs Bryan | 56–66 | 45.90% |
| x_TEC_x vs Heihachi | 51–52 | 49.51% |
| x_TEC_x vs Paul | 39–48 | 44.83% |
| x_TEC_x vs Reina | 37–45 | 45.12% |
| x_TEC_x vs Law | 38–37 | 50.67% |
| x_TEC_x vs Lidia | 25–40 | 38.46% |
| x_TEC_x vs Hwoarang | 30–34 | 46.88% |
| x_TEC_x vs Yoshimitsu | 18–39 | 31.58% |
| x_TEC_x vs Steve | 26–28 | 48.15% |
| x_TEC_x vs Dragunov | 23–30 | 43.40% |
| x_TEC_x vs Jun | 27–23 | 54.00% |
| x_TEC_x vs Lili | 22–27 | 44.90% |
| x_TEC_x vs Eddy | 25–23 | 52.08% |
| x_TEC_x vs Devil Jin | 23–22 | 51.11% |
| x_TEC_x vs Feng | 14–29 | 32.56% |
| x_TEC_x vs Xiaoyu | 22–19 | 53.66% |
| x_TEC_x vs Azucena | 17–23 | 42.50% |
| x_TEC_x vs Victor | 16–19 | 45.71% |
| x_TEC_x vs Lee | 13–21 | 38.24% |
| x_TEC_x vs Alisa | 17–12 | 58.62% |
| x_TEC_x vs Leo | 12–16 | 42.86% |
| x_TEC_x vs Asuka | 15–12 | 55.56% |
| x_TEC_x vs Lars | 15–11 | 57.69% |
| x_TEC_x vs Nina | 19–7 | 73.08% |
| x_TEC_x vs Claudio | 5–18 | 21.74% |
| x_TEC_x vs Leroy | 12–10 | 54.55% |
| x_TEC_x vs Zafina | 11–8 | 57.89% |
| x_TEC_x vs Kuma | 7–11 | 38.89% |
| x_TEC_x vs Raven | 6–10 | 37.50% |
| x_TEC_x vs Jack-8 | 10–5 | 66.67% |
| x_TEC_x vs Shaheen | 3–12 | 20.00% |
| x_TEC_x vs Panda | 2–3 | 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.