| Tvi0lo vs Hwoarang | 98–88 | 52.69% |
| Tvi0lo vs King | 102–76 | 57.30% |
| Tvi0lo vs Jin | 109–69 | 61.24% |
| Tvi0lo vs Kazuya | 96–75 | 56.14% |
| Tvi0lo vs Law | 73–67 | 52.14% |
| Tvi0lo vs Bryan | 74–63 | 54.01% |
| Tvi0lo vs Heihachi | 55–70 | 44.00% |
| Tvi0lo vs Paul | 63–61 | 50.81% |
| Tvi0lo vs Steve | 70–46 | 60.34% |
| Tvi0lo vs Reina | 51–57 | 47.22% |
| Tvi0lo vs Dragunov | 52–47 | 52.53% |
| Tvi0lo vs Victor | 41–43 | 48.81% |
| Tvi0lo vs Fahkumram | 39–44 | 46.99% |
| Tvi0lo vs Yoshimitsu | 38–44 | 46.34% |
| Tvi0lo vs Lili | 47–33 | 58.75% |
| Tvi0lo vs Lee | 36–43 | 45.57% |
| Tvi0lo vs Jun | 47–31 | 60.26% |
| Tvi0lo vs Eddy | 49–29 | 62.82% |
| Tvi0lo vs Asuka | 42–31 | 57.53% |
| Tvi0lo vs Lars | 39–34 | 53.42% |
| Tvi0lo vs Azucena | 39–32 | 54.93% |
| Tvi0lo vs Armor King | 25–37 | 40.32% |
| Tvi0lo vs Raven | 35–25 | 58.33% |
| Tvi0lo vs Feng | 28–31 | 47.46% |
| Tvi0lo vs Devil Jin | 26–28 | 48.15% |
| Tvi0lo vs Nina | 20–31 | 39.22% |
| Tvi0lo vs Anna | 21–25 | 45.65% |
| Tvi0lo vs Alisa | 30–15 | 66.67% |
| Tvi0lo vs Leroy | 22–23 | 48.89% |
| Tvi0lo vs Clive | 27–17 | 61.36% |
| Tvi0lo vs Xiaoyu | 18–21 | 46.15% |
| Tvi0lo vs Jack-8 | 21–18 | 53.85% |
| Tvi0lo vs Claudio | 25–14 | 64.10% |
| Tvi0lo vs Lidia | 19–16 | 54.29% |
| Tvi0lo vs Leo | 17–15 | 53.12% |
| Tvi0lo vs Kuma | 8–15 | 34.78% |
| Tvi0lo vs Shaheen | 7–11 | 38.89% |
| Tvi0lo vs Zafina | 5–11 | 31.25% |
| Tvi0lo vs Panda | 7–8 | 46.67% |
| Tvi0lo vs Miary Zo | 6–7 | 46.15% |
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.