| sb0000 vs Bryan | 132–104 | 55.93% |
| sb0000 vs Paul | 108–108 | 50.00% |
| sb0000 vs Hwoarang | 118–90 | 56.73% |
| sb0000 vs Kazuya | 103–84 | 55.08% |
| sb0000 vs Jin | 94–82 | 53.41% |
| sb0000 vs Dragunov | 96–77 | 55.49% |
| sb0000 vs King | 70–67 | 51.09% |
| sb0000 vs Steve | 70–56 | 55.56% |
| sb0000 vs Lars | 69–46 | 60.00% |
| sb0000 vs Devil Jin | 50–63 | 44.25% |
| sb0000 vs Heihachi | 49–64 | 43.36% |
| sb0000 vs Feng | 64–46 | 58.18% |
| sb0000 vs Reina | 50–52 | 49.02% |
| sb0000 vs Clive | 48–54 | 47.06% |
| sb0000 vs Asuka | 49–50 | 49.49% |
| sb0000 vs Law | 52–43 | 54.74% |
| sb0000 vs Jack-8 | 35–42–1 | 45.45% |
| sb0000 vs Nina | 39–39 | 50.00% |
| sb0000 vs Lee | 38–38 | 50.00% |
| sb0000 vs Victor | 39–37 | 51.32% |
| sb0000 vs Yoshimitsu | 35–39 | 47.30% |
| sb0000 vs Jun | 36–37 | 49.32% |
| sb0000 vs Leroy | 42–29 | 59.15% |
| sb0000 vs Claudio | 41–28 | 59.42% |
| sb0000 vs Lidia | 26–39 | 40.00% |
| sb0000 vs Anna | 33–32 | 50.77% |
| sb0000 vs Lili | 25–39 | 39.06% |
| sb0000 vs Shaheen | 29–33 | 46.77% |
| sb0000 vs Azucena | 24–35 | 40.68% |
| sb0000 vs Kuma | 25–28 | 47.17% |
| sb0000 vs Armor King | 28–25 | 52.83% |
| sb0000 vs Fahkumram | 21–31 | 40.38% |
| sb0000 vs Leo | 26–24 | 52.00% |
| sb0000 vs Eddy | 19–31 | 38.00% |
| sb0000 vs Alisa | 26–23 | 53.06% |
| sb0000 vs Xiaoyu | 24–24 | 50.00% |
| sb0000 vs Miary Zo | 13–30 | 30.23% |
| sb0000 vs Raven | 12–29 | 29.27% |
| sb0000 vs Zafina | 16–17 | 48.48% |
| sb0000 vs Panda | 9–6 | 60.00% |
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.