| cu_r_tis vs King | 120–86 | 58.25% |
| cu_r_tis vs Jin | 98–85 | 53.55% |
| cu_r_tis vs Hwoarang | 85–86 | 49.71% |
| cu_r_tis vs Law | 84–75 | 52.83% |
| cu_r_tis vs Reina | 75–83 | 47.47% |
| cu_r_tis vs Kazuya | 86–58 | 59.72% |
| cu_r_tis vs Steve | 81–58 | 58.27% |
| cu_r_tis vs Bryan | 75–61 | 55.15% |
| cu_r_tis vs Yoshimitsu | 66–60 | 52.38% |
| cu_r_tis vs Dragunov | 53–71 | 42.74% |
| cu_r_tis vs Lars | 63–56 | 52.94% |
| cu_r_tis vs Eddy | 58–52 | 52.73% |
| cu_r_tis vs Paul | 55–51 | 51.89% |
| cu_r_tis vs Feng | 46–60 | 43.40% |
| cu_r_tis vs Asuka | 56–48 | 53.85% |
| cu_r_tis vs Lili | 60–37 | 61.86% |
| cu_r_tis vs Azucena | 39–58 | 40.21% |
| cu_r_tis vs Lee | 51–39 | 56.67% |
| cu_r_tis vs Victor | 43–42 | 50.59% |
| cu_r_tis vs Xiaoyu | 43–40 | 51.81% |
| cu_r_tis vs Nina | 41–37 | 52.56% |
| cu_r_tis vs Jun | 43–35 | 55.13% |
| cu_r_tis vs Leroy | 37–34 | 52.11% |
| cu_r_tis vs Raven | 32–32 | 50.00% |
| cu_r_tis vs Leo | 19–37 | 33.93% |
| cu_r_tis vs Alisa | 24–24 | 50.00% |
| cu_r_tis vs Zafina | 19–29 | 39.58% |
| cu_r_tis vs Jack-8 | 18–23 | 43.90% |
| cu_r_tis vs Devil Jin | 21–20 | 51.22% |
| cu_r_tis vs Kuma | 9–24 | 27.27% |
| cu_r_tis vs Shaheen | 16–16 | 50.00% |
| cu_r_tis vs Claudio | 15–13 | 53.57% |
| cu_r_tis vs Heihachi | 12–14 | 46.15% |
| cu_r_tis vs Lidia | 4–16 | 20.00% |
| cu_r_tis vs Panda | 7–4 | 63.64% |
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.