| biandra vs Jin | 142–140 | 50.35% |
| biandra vs Kazuya | 109–93 | 53.96% |
| biandra vs Dragunov | 94–94 | 50.00% |
| biandra vs Steve | 100–78 | 56.18% |
| biandra vs Bryan | 97–80 | 54.80% |
| biandra vs Reina | 73–65 | 52.90% |
| biandra vs King | 63–69 | 47.73% |
| biandra vs Law | 58–71 | 44.96% |
| biandra vs Yoshimitsu | 48–69 | 41.03% |
| biandra vs Armor King | 58–51 | 53.21% |
| biandra vs Heihachi | 56–38 | 59.57% |
| biandra vs Lili | 38–50 | 43.18% |
| biandra vs Hwoarang | 40–44 | 47.62% |
| biandra vs Devil Jin | 36–47 | 43.37% |
| biandra vs Lee | 36–41 | 46.75% |
| biandra vs Jun | 35–35 | 50.00% |
| biandra vs Asuka | 22–46 | 32.35% |
| biandra vs Paul | 29–36 | 44.62% |
| biandra vs Fahkumram | 24–39 | 38.10% |
| biandra vs Lars | 29–33 | 46.77% |
| biandra vs Victor | 27–33 | 45.00% |
| biandra vs Miary Zo | 31–29 | 51.67% |
| biandra vs Lidia | 24–35 | 40.68% |
| biandra vs Clive | 28–28 | 50.00% |
| biandra vs Claudio | 17–25 | 40.48% |
| biandra vs Nina | 15–23 | 39.47% |
| biandra vs Xiaoyu | 19–18 | 51.35% |
| biandra vs Alisa | 10–26 | 27.78% |
| biandra vs Azucena | 16–20 | 44.44% |
| biandra vs Leroy | 12–20 | 37.50% |
| biandra vs Feng | 13–17 | 43.33% |
| biandra vs Anna | 8–20 | 28.57% |
| biandra vs Raven | 10–16 | 38.46% |
| biandra vs Leo | 6–17 | 26.09% |
| biandra vs Eddy | 9–14 | 39.13% |
| biandra vs Jack-8 | 11–10 | 52.38% |
| biandra vs Shaheen | 7–14 | 33.33% |
| biandra vs Kuma | 10–11 | 47.62% |
| biandra vs Zafina | 2–12 | 14.29% |
| biandra vs Panda | 0–3 | 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.