| trblnura vs Kazuya | 484–445 | 52.10% |
| trblnura vs Jin | 364–305 | 54.41% |
| trblnura vs Bryan | 284–323 | 46.79% |
| trblnura vs Reina | 324–259 | 55.57% |
| trblnura vs King | 258–270–1 | 48.86% |
| trblnura vs Heihachi | 242–208 | 53.78% |
| trblnura vs Hwoarang | 189–239 | 44.16% |
| trblnura vs Steve | 187–180 | 50.95% |
| trblnura vs Paul | 156–204 | 43.33% |
| trblnura vs Law | 131–194 | 40.31% |
| trblnura vs Dragunov | 147–162 | 47.57% |
| trblnura vs Yoshimitsu | 137–165 | 45.36% |
| trblnura vs Lili | 149–141 | 51.38% |
| trblnura vs Devil Jin | 131–154 | 45.96% |
| trblnura vs Lee | 124–147 | 45.76% |
| trblnura vs Lidia | 133–131 | 50.38% |
| trblnura vs Clive | 124–131 | 48.63% |
| trblnura vs Jun | 126–110 | 53.39% |
| trblnura vs Azucena | 102–118–1 | 46.36% |
| trblnura vs Feng | 88–130 | 40.37% |
| trblnura vs Asuka | 110–101 | 52.13% |
| trblnura vs Nina | 113–98 | 53.55% |
| trblnura vs Lars | 86–124 | 40.95% |
| trblnura vs Eddy | 58–110 | 34.52% |
| trblnura vs Victor | 65–98–1 | 39.88% |
| trblnura vs Anna | 74–79 | 48.37% |
| trblnura vs Armor King | 77–74 | 50.99% |
| trblnura vs Xiaoyu | 68–72 | 48.57% |
| trblnura vs Fahkumram | 61–78 | 43.88% |
| trblnura vs Alisa | 46–84 | 35.38% |
| trblnura vs Leroy | 42–79 | 34.71% |
| trblnura vs Raven | 53–67 | 44.17% |
| trblnura vs Claudio | 51–52 | 49.51% |
| trblnura vs Leo | 37–65 | 36.27% |
| trblnura vs Jack-8 | 41–58 | 41.41% |
| trblnura vs Shaheen | 46–48 | 48.94% |
| trblnura vs Kuma | 34–55 | 38.20% |
| trblnura vs Zafina | 21–52 | 28.77% |
| trblnura vs Miary Zo | 24–22 | 52.17% |
| trblnura vs Panda | 12–11 | 52.17% |
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.