| BaggaMBBS vs Bryan | 23–17 | 57.50% |
| BaggaMBBS vs King | 19–15 | 55.88% |
| BaggaMBBS vs Heihachi | 21–9 | 70.00% |
| BaggaMBBS vs Armor King | 15–12 | 55.56% |
| BaggaMBBS vs Paul | 12–12 | 50.00% |
| BaggaMBBS vs Jin | 15–9 | 62.50% |
| BaggaMBBS vs Dragunov | 18–5 | 78.26% |
| BaggaMBBS vs Hwoarang | 8–11 | 42.11% |
| BaggaMBBS vs Kazuya | 14–5 | 73.68% |
| BaggaMBBS vs Miary Zo | 9–9 | 50.00% |
| BaggaMBBS vs Lars | 9–8 | 52.94% |
| BaggaMBBS vs Victor | 11–6 | 64.71% |
| BaggaMBBS vs Clive | 13–2 | 86.67% |
| BaggaMBBS vs Claudio | 8–6 | 57.14% |
| BaggaMBBS vs Eddy | 10–4 | 71.43% |
| BaggaMBBS vs Anna | 8–6 | 57.14% |
| BaggaMBBS vs Reina | 10–3 | 76.92% |
| BaggaMBBS vs Fahkumram | 4–9 | 30.77% |
| BaggaMBBS vs Law | 8–3 | 72.73% |
| BaggaMBBS vs Azucena | 3–7 | 30.00% |
| BaggaMBBS vs Yoshimitsu | 8–1 | 88.89% |
| BaggaMBBS vs Xiaoyu | 4–5 | 44.44% |
| BaggaMBBS vs Feng | 2–7 | 22.22% |
| BaggaMBBS vs Asuka | 4–4 | 50.00% |
| BaggaMBBS vs Shaheen | 6–2 | 75.00% |
| BaggaMBBS vs Nina | 5–3 | 62.50% |
| BaggaMBBS vs Devil Jin | 2–5 | 28.57% |
| BaggaMBBS vs Alisa | 4–3 | 57.14% |
| BaggaMBBS vs Panda | 3–4 | 42.86% |
| BaggaMBBS vs Lili | 4–2 | 66.67% |
| BaggaMBBS vs Leo | 4–1 | 80.00% |
| BaggaMBBS vs Kuma | 3–2 | 60.00% |
| BaggaMBBS vs Zafina | 2–3 | 40.00% |
| BaggaMBBS vs Lidia | 3–2 | 60.00% |
| BaggaMBBS vs Steve | 2–2 | 50.00% |
| BaggaMBBS vs Jun | 3–1 | 75.00% |
| BaggaMBBS vs Jack-8 | 2–1 | 66.67% |
| BaggaMBBS vs Raven | 0–3 | 0.00% |
| BaggaMBBS vs Lee | 0–2 | 0.00% |
| BaggaMBBS vs Leroy | 0–2 | 0.00% |
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.