| SumiBumbum vs Kazuya | 84–88 | 48.84% |
| SumiBumbum vs Jin | 67–67 | 50.00% |
| SumiBumbum vs Bryan | 46–51 | 47.42% |
| SumiBumbum vs King | 42–44 | 48.84% |
| SumiBumbum vs Heihachi | 41–45 | 47.67% |
| SumiBumbum vs Reina | 55–30 | 64.71% |
| SumiBumbum vs Clive | 40–41 | 49.38% |
| SumiBumbum vs Steve | 36–37 | 49.32% |
| SumiBumbum vs Yoshimitsu | 30–29 | 50.85% |
| SumiBumbum vs Hwoarang | 31–28 | 52.54% |
| SumiBumbum vs Lili | 28–26 | 51.85% |
| SumiBumbum vs Dragunov | 21–33 | 38.89% |
| SumiBumbum vs Paul | 21–31 | 40.38% |
| SumiBumbum vs Law | 15–36 | 29.41% |
| SumiBumbum vs Asuka | 31–17 | 64.58% |
| SumiBumbum vs Azucena | 26–21 | 55.32% |
| SumiBumbum vs Nina | 22–24 | 47.83% |
| SumiBumbum vs Eddy | 26–19 | 57.78% |
| SumiBumbum vs Lee | 20–22 | 47.62% |
| SumiBumbum vs Lars | 18–21 | 46.15% |
| SumiBumbum vs Devil Jin | 21–15 | 58.33% |
| SumiBumbum vs Xiaoyu | 14–16 | 46.67% |
| SumiBumbum vs Feng | 18–12 | 60.00% |
| SumiBumbum vs Victor | 12–17 | 41.38% |
| SumiBumbum vs Leroy | 14–11 | 56.00% |
| SumiBumbum vs Jun | 10–13 | 43.48% |
| SumiBumbum vs Claudio | 16–4 | 80.00% |
| SumiBumbum vs Shaheen | 11–8 | 57.89% |
| SumiBumbum vs Zafina | 5–14 | 26.32% |
| SumiBumbum vs Fahkumram | 12–7 | 63.16% |
| SumiBumbum vs Lidia | 9–9 | 50.00% |
| SumiBumbum vs Alisa | 12–5 | 70.59% |
| SumiBumbum vs Leo | 5–11 | 31.25% |
| SumiBumbum vs Kuma | 7–9 | 43.75% |
| SumiBumbum vs Raven | 1–9 | 10.00% |
| SumiBumbum vs Jack-8 | 5–4 | 55.56% |
| SumiBumbum vs Panda | 4–2 | 66.67% |
| SumiBumbum vs Anna | 4–2 | 66.67% |
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.