| H.Bison vs Kazuya | 90–18 | 83.33% |
| H.Bison vs Reina | 71–17 | 80.68% |
| H.Bison vs Jin | 73–14 | 83.91% |
| H.Bison vs Bryan | 63–12 | 84.00% |
| H.Bison vs Dragunov | 49–14 | 77.78% |
| H.Bison vs Law | 47–14 | 77.05% |
| H.Bison vs Paul | 44–16 | 73.33% |
| H.Bison vs King | 45–11 | 80.36% |
| H.Bison vs Yoshimitsu | 37–18 | 67.27% |
| H.Bison vs Hwoarang | 30–20 | 60.00% |
| H.Bison vs Devil Jin | 32–13 | 71.11% |
| H.Bison vs Lee | 29–16 | 64.44% |
| H.Bison vs Lars | 35–8 | 81.40% |
| H.Bison vs Feng | 29–13 | 69.05% |
| H.Bison vs Heihachi | 32–9 | 78.05% |
| H.Bison vs Lili | 27–9 | 75.00% |
| H.Bison vs Victor | 31–5 | 86.11% |
| H.Bison vs Claudio | 20–14 | 58.82% |
| H.Bison vs Steve | 27–4 | 87.10% |
| H.Bison vs Jack-8 | 17–13 | 56.67% |
| H.Bison vs Xiaoyu | 23–6 | 79.31% |
| H.Bison vs Eddy | 19–8 | 70.37% |
| H.Bison vs Lidia | 17–10 | 62.96% |
| H.Bison vs Asuka | 19–5 | 79.17% |
| H.Bison vs Azucena | 15–8 | 65.22% |
| H.Bison vs Jun | 18–4 | 81.82% |
| H.Bison vs Alisa | 15–6 | 71.43% |
| H.Bison vs Shaheen | 12–7 | 63.16% |
| H.Bison vs Zafina | 9–9 | 50.00% |
| H.Bison vs Leo | 11–6 | 64.71% |
| H.Bison vs Raven | 11–5 | 68.75% |
| H.Bison vs Nina | 11–1 | 91.67% |
| H.Bison vs Clive | 7–5 | 58.33% |
| H.Bison vs Kuma | 5–6 | 45.45% |
| H.Bison vs Leroy | 8–2 | 80.00% |
| H.Bison vs Panda | 6–0 | 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.