| TTVbhriss3000 vs King | 54–86 | 38.57% |
| TTVbhriss3000 vs Kazuya | 48–68 | 41.38% |
| TTVbhriss3000 vs Reina | 38–51 | 42.70% |
| TTVbhriss3000 vs Bryan | 43–39 | 52.44% |
| TTVbhriss3000 vs Law | 24–54 | 30.77% |
| TTVbhriss3000 vs Hwoarang | 26–48 | 35.14% |
| TTVbhriss3000 vs Lee | 39–34 | 53.42% |
| TTVbhriss3000 vs Jin | 27–42 | 39.13% |
| TTVbhriss3000 vs Dragunov | 32–36 | 47.06% |
| TTVbhriss3000 vs Paul | 33–30 | 52.38% |
| TTVbhriss3000 vs Azucena | 29–34 | 46.03% |
| TTVbhriss3000 vs Steve | 32–29 | 52.46% |
| TTVbhriss3000 vs Xiaoyu | 32–28 | 53.33% |
| TTVbhriss3000 vs Lili | 28–32 | 46.67% |
| TTVbhriss3000 vs Eddy | 26–34 | 43.33% |
| TTVbhriss3000 vs Yoshimitsu | 28–28 | 50.00% |
| TTVbhriss3000 vs Jun | 16–28 | 36.36% |
| TTVbhriss3000 vs Lidia | 15–29 | 34.09% |
| TTVbhriss3000 vs Victor | 15–28 | 34.88% |
| TTVbhriss3000 vs Feng | 22–19 | 53.66% |
| TTVbhriss3000 vs Raven | 20–21 | 48.78% |
| TTVbhriss3000 vs Devil Jin | 20–18 | 52.63% |
| TTVbhriss3000 vs Leo | 15–23 | 39.47% |
| TTVbhriss3000 vs Lars | 16–22 | 42.11% |
| TTVbhriss3000 vs Alisa | 15–21 | 41.67% |
| TTVbhriss3000 vs Kuma | 13–21 | 38.24% |
| TTVbhriss3000 vs Asuka | 15–18 | 45.45% |
| TTVbhriss3000 vs Nina | 11–18 | 37.93% |
| TTVbhriss3000 vs Jack-8 | 10–14 | 41.67% |
| TTVbhriss3000 vs Leroy | 14–7 | 66.67% |
| TTVbhriss3000 vs Zafina | 5–12 | 29.41% |
| TTVbhriss3000 vs Shaheen | 5–11 | 31.25% |
| TTVbhriss3000 vs Clive | 6–8 | 42.86% |
| TTVbhriss3000 vs Anna | 6–6 | 50.00% |
| TTVbhriss3000 vs Claudio | 4–6 | 40.00% |
| TTVbhriss3000 vs Heihachi | 0–8 | 0.00% |
| TTVbhriss3000 vs Panda | 2–5 | 28.57% |
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.