| B0NES vs Hwoarang | 41–39 | 51.25% |
| B0NES vs Reina | 49–30 | 62.03% |
| B0NES vs Bryan | 39–37 | 51.32% |
| B0NES vs Lili | 32–42 | 43.24% |
| B0NES vs Yoshimitsu | 42–28 | 60.00% |
| B0NES vs King | 37–31 | 54.41% |
| B0NES vs Jin | 33–31 | 51.56% |
| B0NES vs Xiaoyu | 34–27 | 55.74% |
| B0NES vs Dragunov | 34–22 | 60.71% |
| B0NES vs Law | 25–26 | 49.02% |
| B0NES vs Steve | 30–21 | 58.82% |
| B0NES vs Azucena | 30–18 | 62.50% |
| B0NES vs Paul | 24–22 | 52.17% |
| B0NES vs Kazuya | 27–16 | 62.79% |
| B0NES vs Lee | 26–17 | 60.47% |
| B0NES vs Jun | 15–25 | 37.50% |
| B0NES vs Lars | 18–21 | 46.15% |
| B0NES vs Asuka | 21–16 | 56.76% |
| B0NES vs Eddy | 20–14 | 58.82% |
| B0NES vs Victor | 14–17 | 45.16% |
| B0NES vs Alisa | 18–12 | 60.00% |
| B0NES vs Nina | 18–12 | 60.00% |
| B0NES vs Devil Jin | 13–15 | 46.43% |
| B0NES vs Feng | 13–15 | 46.43% |
| B0NES vs Claudio | 11–17 | 39.29% |
| B0NES vs Leroy | 17–11 | 60.71% |
| B0NES vs Leo | 17–9 | 65.38% |
| B0NES vs Raven | 15–9 | 62.50% |
| B0NES vs Lidia | 17–6 | 73.91% |
| B0NES vs Jack-8 | 16–4 | 80.00% |
| B0NES vs Kuma | 9–4 | 69.23% |
| B0NES vs Zafina | 9–3 | 75.00% |
| B0NES vs Shaheen | 6–3 | 66.67% |
| B0NES vs Armor King | 2–6 | 25.00% |
| B0NES vs Heihachi | 5–2 | 71.43% |
| B0NES vs Panda | 3–2 | 60.00% |
| B0NES vs Clive | 2–2 | 50.00% |
| B0NES vs Fahkumram | 3–0 | 100.00% |
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.