| M.BANKS vs Hwoarang | 139–186 | 42.77% |
| M.BANKS vs Paul | 154–170 | 47.53% |
| M.BANKS vs King | 140–148 | 48.61% |
| M.BANKS vs Bryan | 115–169 | 40.49% |
| M.BANKS vs Reina | 137–147 | 48.24% |
| M.BANKS vs Dragunov | 113–149 | 43.13% |
| M.BANKS vs Kazuya | 129–115 | 52.87% |
| M.BANKS vs Asuka | 120–112 | 51.72% |
| M.BANKS vs Jin | 95–129 | 42.41% |
| M.BANKS vs Lili | 103–98–1 | 51.24% |
| M.BANKS vs Steve | 82–112 | 42.27% |
| M.BANKS vs Xiaoyu | 84–69 | 54.90% |
| M.BANKS vs Victor | 64–86 | 42.67% |
| M.BANKS vs Yoshimitsu | 61–78 | 43.88% |
| M.BANKS vs Azucena | 67–72 | 48.20% |
| M.BANKS vs Feng | 66–71 | 48.18% |
| M.BANKS vs Jun | 57–80 | 41.61% |
| M.BANKS vs Claudio | 65–67 | 49.24% |
| M.BANKS vs Devil Jin | 59–70 | 45.74% |
| M.BANKS vs Law | 43–85 | 33.59% |
| M.BANKS vs Lidia | 60–63 | 48.78% |
| M.BANKS vs Leo | 62–59 | 51.24% |
| M.BANKS vs Alisa | 45–73 | 38.14% |
| M.BANKS vs Nina | 43–70 | 38.05% |
| M.BANKS vs Lars | 56–56 | 50.00% |
| M.BANKS vs Lee | 51–60 | 45.95% |
| M.BANKS vs Heihachi | 57–49 | 53.77% |
| M.BANKS vs Clive | 43–62 | 40.95% |
| M.BANKS vs Jack-8 | 45–51 | 46.88% |
| M.BANKS vs Leroy | 56–37 | 60.22% |
| M.BANKS vs Eddy | 37–47 | 44.05% |
| M.BANKS vs Zafina | 37–40 | 48.05% |
| M.BANKS vs Anna | 36–30 | 54.55% |
| M.BANKS vs Raven | 29–34 | 46.03% |
| M.BANKS vs Shaheen | 29–33 | 46.77% |
| M.BANKS vs Fahkumram | 23–39 | 37.10% |
| M.BANKS vs Miary Zo | 23–31 | 42.59% |
| M.BANKS vs Armor King | 17–23 | 42.50% |
| M.BANKS vs Kuma | 18–21 | 46.15% |
| M.BANKS vs Panda | 7–23 | 23.33% |
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.