| M.BANKS vs Paul | 157–173 | 47.58% |
| M.BANKS vs Hwoarang | 143–187 | 43.33% |
| M.BANKS vs Reina | 141–154 | 47.80% |
| M.BANKS vs Bryan | 118–174 | 40.41% |
| M.BANKS vs King | 141–150 | 48.45% |
| M.BANKS vs Dragunov | 115–151 | 43.23% |
| M.BANKS vs Kazuya | 136–118 | 53.54% |
| M.BANKS vs Asuka | 122–114 | 51.69% |
| M.BANKS vs Jin | 100–132 | 43.10% |
| M.BANKS vs Lili | 109–99–1 | 52.40% |
| M.BANKS vs Steve | 86–117 | 42.36% |
| M.BANKS vs Xiaoyu | 84–71 | 54.19% |
| M.BANKS vs Victor | 64–87 | 42.38% |
| M.BANKS vs Yoshimitsu | 65–80 | 44.83% |
| M.BANKS vs Azucena | 69–74 | 48.25% |
| M.BANKS vs Jun | 58–84 | 40.85% |
| M.BANKS vs Feng | 67–73 | 47.86% |
| M.BANKS vs Law | 49–88 | 35.77% |
| M.BANKS vs Claudio | 67–67 | 50.00% |
| M.BANKS vs Devil Jin | 61–71 | 46.21% |
| M.BANKS vs Lidia | 62–64 | 49.21% |
| M.BANKS vs Leo | 62–59 | 51.24% |
| M.BANKS vs Alisa | 46–75 | 38.02% |
| M.BANKS vs Lars | 58–58 | 50.00% |
| M.BANKS vs Nina | 44–72 | 37.93% |
| M.BANKS vs Lee | 53–60 | 46.90% |
| M.BANKS vs Clive | 45–65 | 40.91% |
| M.BANKS vs Heihachi | 57–51 | 52.78% |
| M.BANKS vs Leroy | 59–39 | 60.20% |
| M.BANKS vs Jack-8 | 45–51 | 46.88% |
| M.BANKS vs Eddy | 37–49 | 43.02% |
| M.BANKS vs Zafina | 38–40 | 48.72% |
| M.BANKS vs Anna | 38–31 | 55.07% |
| M.BANKS vs Raven | 31–37 | 45.59% |
| M.BANKS vs Fahkumram | 27–40 | 40.30% |
| M.BANKS vs Shaheen | 29–33 | 46.77% |
| M.BANKS vs Miary Zo | 27–34 | 44.26% |
| M.BANKS vs Armor King | 18–29 | 38.30% |
| M.BANKS vs Kuma | 20–21 | 48.78% |
| 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.