| mbahRejo vs Steve | 23–24 | 48.94% |
| mbahRejo vs Kazuya | 17–22 | 43.59% |
| mbahRejo vs Jin | 19–18 | 51.35% |
| mbahRejo vs Yoshimitsu | 15–12 | 55.56% |
| mbahRejo vs Reina | 12–15 | 44.44% |
| mbahRejo vs Armor King | 13–13 | 50.00% |
| mbahRejo vs Devil Jin | 7–17 | 29.17% |
| mbahRejo vs Lili | 14–10 | 58.33% |
| mbahRejo vs Heihachi | 10–14 | 41.67% |
| mbahRejo vs Bryan | 11–11 | 50.00% |
| mbahRejo vs Hwoarang | 9–11 | 45.00% |
| mbahRejo vs Dragunov | 9–9 | 50.00% |
| mbahRejo vs Victor | 7–8 | 46.67% |
| mbahRejo vs Fahkumram | 8–7 | 53.33% |
| mbahRejo vs King | 4–10 | 28.57% |
| mbahRejo vs Xiaoyu | 6–8 | 42.86% |
| mbahRejo vs Lars | 7–6 | 53.85% |
| mbahRejo vs Jun | 6–6 | 50.00% |
| mbahRejo vs Paul | 3–4 | 42.86% |
| mbahRejo vs Asuka | 6–1 | 85.71% |
| mbahRejo vs Nina | 3–4 | 42.86% |
| mbahRejo vs Anna | 4–3 | 57.14% |
| mbahRejo vs Jack-8 | 0–6 | 0.00% |
| mbahRejo vs Azucena | 0–6 | 0.00% |
| mbahRejo vs Shaheen | 2–3 | 40.00% |
| mbahRejo vs Miary Zo | 2–3 | 40.00% |
| mbahRejo vs Zafina | 2–2 | 50.00% |
| mbahRejo vs Eddy | 2–2 | 50.00% |
| mbahRejo vs Law | 3–0 | 100.00% |
| mbahRejo vs Leo | 0–3 | 0.00% |
| mbahRejo vs Clive | 2–1 | 66.67% |
| mbahRejo vs Feng | 0–2 | 0.00% |
| mbahRejo vs Alisa | 0–2 | 0.00% |
| mbahRejo vs Claudio | 0–2 | 0.00% |
| mbahRejo vs Lee | 2–0 | 100.00% |
| mbahRejo vs Kuma | 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.