| BiasTYB vs Clive | 50–66 | 43.10% |
| BiasTYB vs Reina | 20–24 | 45.45% |
| BiasTYB vs Kazuya | 16–26 | 38.10% |
| BiasTYB vs Jin | 18–22 | 45.00% |
| BiasTYB vs Heihachi | 18–21 | 46.15% |
| BiasTYB vs Hwoarang | 21–16 | 56.76% |
| BiasTYB vs King | 7–25 | 21.88% |
| BiasTYB vs Steve | 16–15 | 51.61% |
| BiasTYB vs Law | 11–14 | 44.00% |
| BiasTYB vs Bryan | 8–16 | 33.33% |
| BiasTYB vs Lili | 8–16 | 33.33% |
| BiasTYB vs Paul | 9–11 | 45.00% |
| BiasTYB vs Dragunov | 7–13 | 35.00% |
| BiasTYB vs Asuka | 7–12 | 36.84% |
| BiasTYB vs Jun | 9–10 | 47.37% |
| BiasTYB vs Victor | 8–11 | 42.11% |
| BiasTYB vs Nina | 7–8 | 46.67% |
| BiasTYB vs Alisa | 7–7 | 50.00% |
| BiasTYB vs Lee | 4–10 | 28.57% |
| BiasTYB vs Yoshimitsu | 9–4 | 69.23% |
| BiasTYB vs Devil Jin | 5–8 | 38.46% |
| BiasTYB vs Feng | 8–5 | 61.54% |
| BiasTYB vs Eddy | 3–10 | 23.08% |
| BiasTYB vs Azucena | 5–7 | 41.67% |
| BiasTYB vs Raven | 4–7 | 36.36% |
| BiasTYB vs Leroy | 4–6 | 40.00% |
| BiasTYB vs Leo | 3–6 | 33.33% |
| BiasTYB vs Xiaoyu | 5–3 | 62.50% |
| BiasTYB vs Lidia | 3–4 | 42.86% |
| BiasTYB vs Jack-8 | 2–3 | 40.00% |
| BiasTYB vs Claudio | 1–4 | 20.00% |
| BiasTYB vs Lars | 0–4 | 0.00% |
| BiasTYB vs Shaheen | 4–0 | 100.00% |
| BiasTYB vs Kuma | 3–1 | 75.00% |
| BiasTYB vs Panda | 0–2 | 0.00% |
| BiasTYB vs Zafina | 0–2 | 0.00% |
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.