| Bann_Him vs Reina | 26–25 | 50.98% |
| Bann_Him vs Heihachi | 26–22 | 54.17% |
| Bann_Him vs King | 26–19 | 57.78% |
| Bann_Him vs Jin | 29–13 | 69.05% |
| Bann_Him vs Kazuya | 19–22 | 46.34% |
| Bann_Him vs Bryan | 19–19 | 50.00% |
| Bann_Him vs Steve | 24–13 | 64.86% |
| Bann_Him vs Jun | 22–13 | 62.86% |
| Bann_Him vs Law | 22–11 | 66.67% |
| Bann_Him vs Hwoarang | 25–7 | 78.12% |
| Bann_Him vs Azucena | 12–19 | 38.71% |
| Bann_Him vs Leo | 18–10 | 64.29% |
| Bann_Him vs Eddy | 16–12 | 57.14% |
| Bann_Him vs Dragunov | 12–11 | 52.17% |
| Bann_Him vs Asuka | 15–7 | 68.18% |
| Bann_Him vs Lili | 12–10 | 54.55% |
| Bann_Him vs Xiaoyu | 13–8 | 61.90% |
| Bann_Him vs Paul | 15–5 | 75.00% |
| Bann_Him vs Yoshimitsu | 9–11 | 45.00% |
| Bann_Him vs Devil Jin | 10–8 | 55.56% |
| Bann_Him vs Lars | 9–9 | 50.00% |
| Bann_Him vs Nina | 12–6 | 66.67% |
| Bann_Him vs Victor | 7–11 | 38.89% |
| Bann_Him vs Clive | 10–7 | 58.82% |
| Bann_Him vs Lee | 12–4 | 75.00% |
| Bann_Him vs Leroy | 11–5 | 68.75% |
| Bann_Him vs Alisa | 6–6 | 50.00% |
| Bann_Him vs Jack-8 | 5–5 | 50.00% |
| Bann_Him vs Raven | 7–3 | 70.00% |
| Bann_Him vs Lidia | 8–2 | 80.00% |
| Bann_Him vs Feng | 4–5 | 44.44% |
| Bann_Him vs Kuma | 5–4 | 55.56% |
| Bann_Him vs Claudio | 1–6 | 14.29% |
| Bann_Him vs Panda | 3–1 | 75.00% |
| Bann_Him vs Zafina | 4–0 | 100.00% |
| Bann_Him vs Fahkumram | 3–1 | 75.00% |
| Bann_Him vs Shaheen | 3–0 | 100.00% |
| Bann_Him vs Miary Zo | 2–0 | 100.00% |
| Bann_Him vs Anna | 1–0 | 100.00% |
| Bann_Him vs Armor King | 1–0 | 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.