| ttv/lopedo vs Bryan | 62–68–1 | 47.69% |
| ttv/lopedo vs Steve | 69–61 | 53.08% |
| ttv/lopedo vs Jin | 68–57 | 54.40% |
| ttv/lopedo vs Reina | 78–45 | 63.41% |
| ttv/lopedo vs Kazuya | 49–59 | 45.37% |
| ttv/lopedo vs King | 47–59 | 44.34% |
| ttv/lopedo vs Dragunov | 52–53 | 49.52% |
| ttv/lopedo vs Law | 54–44 | 55.10% |
| ttv/lopedo vs Lee | 54–44 | 55.10% |
| ttv/lopedo vs Yoshimitsu | 50–44 | 53.19% |
| ttv/lopedo vs Hwoarang | 50–41 | 54.95% |
| ttv/lopedo vs Jack-8 | 49–41 | 54.44% |
| ttv/lopedo vs Lili | 47–43 | 52.22% |
| ttv/lopedo vs Devil Jin | 46–42 | 52.27% |
| ttv/lopedo vs Nina | 44–43 | 50.57% |
| ttv/lopedo vs Lars | 45–39 | 53.57% |
| ttv/lopedo vs Paul | 45–36 | 55.56% |
| ttv/lopedo vs Azucena | 40–41 | 49.38% |
| ttv/lopedo vs Feng | 44–32 | 57.89% |
| ttv/lopedo vs Asuka | 27–46 | 36.99% |
| ttv/lopedo vs Jun | 32–36 | 47.06% |
| ttv/lopedo vs Leroy | 27–36 | 42.86% |
| ttv/lopedo vs Raven | 35–27 | 56.45% |
| ttv/lopedo vs Victor | 27–30 | 47.37% |
| ttv/lopedo vs Claudio | 33–23 | 58.93% |
| ttv/lopedo vs Leo | 28–24 | 53.85% |
| ttv/lopedo vs Eddy | 25–27 | 48.08% |
| ttv/lopedo vs Zafina | 20–29 | 40.82% |
| ttv/lopedo vs Xiaoyu | 19–28 | 40.43% |
| ttv/lopedo vs Alisa | 22–16 | 57.89% |
| ttv/lopedo vs Shaheen | 11–16 | 40.74% |
| ttv/lopedo vs Panda | 13–12 | 52.00% |
| ttv/lopedo vs Kuma | 9–11 | 45.00% |
| ttv/lopedo vs Fahkumram | 10–9 | 52.63% |
| ttv/lopedo vs Lidia | 9–9 | 50.00% |
| ttv/lopedo vs Heihachi | 8–4 | 66.67% |
| ttv/lopedo vs Anna | 5–1 | 83.33% |
| ttv/lopedo vs Clive | 3–1 | 75.00% |
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.