| Dr_B_Banner vs Kazuya | 66–89 | 42.58% |
| Dr_B_Banner vs Jin | 61–91 | 40.13% |
| Dr_B_Banner vs King | 63–64 | 49.61% |
| Dr_B_Banner vs Law | 57–65 | 46.72% |
| Dr_B_Banner vs Hwoarang | 52–54 | 49.06% |
| Dr_B_Banner vs Heihachi | 40–65 | 38.10% |
| Dr_B_Banner vs Bryan | 28–70 | 28.57% |
| Dr_B_Banner vs Steve | 45–51 | 46.88% |
| Dr_B_Banner vs Jun | 47–41 | 53.41% |
| Dr_B_Banner vs Reina | 41–43 | 48.81% |
| Dr_B_Banner vs Yoshimitsu | 27–43 | 38.57% |
| Dr_B_Banner vs Lili | 24–42 | 36.36% |
| Dr_B_Banner vs Dragunov | 25–39 | 39.06% |
| Dr_B_Banner vs Eddy | 33–31 | 51.56% |
| Dr_B_Banner vs Nina | 23–32 | 41.82% |
| Dr_B_Banner vs Asuka | 14–28 | 33.33% |
| Dr_B_Banner vs Victor | 19–23 | 45.24% |
| Dr_B_Banner vs Devil Jin | 14–25 | 35.90% |
| Dr_B_Banner vs Feng | 9–25 | 26.47% |
| Dr_B_Banner vs Alisa | 12–22 | 35.29% |
| Dr_B_Banner vs Lars | 14–16 | 46.67% |
| Dr_B_Banner vs Lee | 10–20 | 33.33% |
| Dr_B_Banner vs Clive | 11–19 | 36.67% |
| Dr_B_Banner vs Lidia | 14–15 | 48.28% |
| Dr_B_Banner vs Paul | 9–16 | 36.00% |
| Dr_B_Banner vs Xiaoyu | 9–15 | 37.50% |
| Dr_B_Banner vs Claudio | 8–16 | 33.33% |
| Dr_B_Banner vs Jack-8 | 7–12 | 36.84% |
| Dr_B_Banner vs Leo | 9–9 | 50.00% |
| Dr_B_Banner vs Azucena | 8–10 | 44.44% |
| Dr_B_Banner vs Raven | 9–8 | 52.94% |
| Dr_B_Banner vs Kuma | 5–10 | 33.33% |
| Dr_B_Banner vs Shaheen | 6–7 | 46.15% |
| Dr_B_Banner vs Zafina | 5–7 | 41.67% |
| Dr_B_Banner vs Leroy | 5–6 | 45.45% |
| Dr_B_Banner vs Armor King | 4–7 | 36.36% |
| Dr_B_Banner vs Panda | 6–1 | 85.71% |
| Dr_B_Banner vs Fahkumram | 1–5 | 16.67% |
| Dr_B_Banner vs Anna | 1–1 | 50.00% |
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.