| Tratsiana vs Kazuya | 253–223 | 53.15% |
| Tratsiana vs Bryan | 226–178 | 55.94% |
| Tratsiana vs Jin | 206–195 | 51.37% |
| Tratsiana vs Paul | 144–167 | 46.30% |
| Tratsiana vs King | 149–145 | 50.68% |
| Tratsiana vs Dragunov | 141–141 | 50.00% |
| Tratsiana vs Law | 141–140 | 50.18% |
| Tratsiana vs Yoshimitsu | 144–135 | 51.61% |
| Tratsiana vs Hwoarang | 133–144 | 48.01% |
| Tratsiana vs Reina | 117–157 | 42.70% |
| Tratsiana vs Steve | 119–130 | 47.79% |
| Tratsiana vs Heihachi | 126–117–1 | 51.85% |
| Tratsiana vs Lee | 103–140 | 42.39% |
| Tratsiana vs Devil Jin | 110–120 | 47.83% |
| Tratsiana vs Lili | 131–65 | 66.84% |
| Tratsiana vs Lars | 87–90 | 49.15% |
| Tratsiana vs Feng | 72–96 | 42.86% |
| Tratsiana vs Jun | 90–78 | 53.57% |
| Tratsiana vs Victor | 86–77 | 52.76% |
| Tratsiana vs Azucena | 68–82 | 45.33% |
| Tratsiana vs Nina | 73–55 | 57.03% |
| Tratsiana vs Raven | 51–75 | 40.48% |
| Tratsiana vs Clive | 53–73 | 42.06% |
| Tratsiana vs Leo | 65–59 | 52.42% |
| Tratsiana vs Claudio | 58–64 | 47.54% |
| Tratsiana vs Asuka | 69–52 | 57.02% |
| Tratsiana vs Zafina | 54–60 | 47.37% |
| Tratsiana vs Alisa | 71–37 | 65.74% |
| Tratsiana vs Xiaoyu | 56–50 | 52.83% |
| Tratsiana vs Lidia | 56–49 | 53.33% |
| Tratsiana vs Leroy | 44–57 | 43.56% |
| Tratsiana vs Jack-8 | 37–63 | 37.00% |
| Tratsiana vs Anna | 33–58 | 36.26% |
| Tratsiana vs Eddy | 32–50 | 39.02% |
| Tratsiana vs Shaheen | 38–33 | 53.52% |
| Tratsiana vs Kuma | 29–25 | 53.70% |
| Tratsiana vs Fahkumram | 13–16 | 44.83% |
| Tratsiana vs Panda | 8–13 | 38.10% |
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.