| bucks vs Dragunov | 43–43 | 50.00% |
| bucks vs Hwoarang | 47–36 | 56.63% |
| bucks vs King | 47–34 | 58.02% |
| bucks vs Bryan | 45–34 | 56.96% |
| bucks vs Kazuya | 34–43 | 44.16% |
| bucks vs Steve | 46–31 | 59.74% |
| bucks vs Asuka | 32–31 | 50.79% |
| bucks vs Yoshimitsu | 21–39 | 35.00% |
| bucks vs Feng | 18–38 | 32.14% |
| bucks vs Jin | 28–27 | 50.91% |
| bucks vs Paul | 27–25 | 51.92% |
| bucks vs Jack-8 | 19–31 | 38.00% |
| bucks vs Lili | 22–28 | 44.00% |
| bucks vs Reina | 28–21 | 57.14% |
| bucks vs Lars | 20–28 | 41.67% |
| bucks vs Lee | 21–23 | 47.73% |
| bucks vs Devil Jin | 23–20 | 53.49% |
| bucks vs Law | 18–21 | 46.15% |
| bucks vs Jun | 19–20 | 48.72% |
| bucks vs Azucena | 17–22 | 43.59% |
| bucks vs Nina | 24–14 | 63.16% |
| bucks vs Leo | 19–18 | 51.35% |
| bucks vs Claudio | 19–18 | 51.35% |
| bucks vs Shaheen | 17–19 | 47.22% |
| bucks vs Victor | 19–17 | 52.78% |
| bucks vs Leroy | 12–20 | 37.50% |
| bucks vs Anna | 16–13 | 55.17% |
| bucks vs Lidia | 11–16 | 40.74% |
| bucks vs Heihachi | 13–13 | 50.00% |
| bucks vs Alisa | 9–16 | 36.00% |
| bucks vs Xiaoyu | 11–13 | 45.83% |
| bucks vs Eddy | 14–10 | 58.33% |
| bucks vs Raven | 7–12 | 36.84% |
| bucks vs Kuma | 6–10 | 37.50% |
| bucks vs Panda | 3–9 | 25.00% |
| bucks vs Clive | 4–5 | 44.44% |
| bucks vs Zafina | 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.