| ma1lbu vs Reina | 26–16 | 61.90% |
| ma1lbu vs Steve | 20–16 | 55.56% |
| ma1lbu vs King | 15–20 | 42.86% |
| ma1lbu vs Kazuya | 16–16 | 50.00% |
| ma1lbu vs Jin | 16–15 | 51.61% |
| ma1lbu vs Dragunov | 10–20 | 33.33% |
| ma1lbu vs Hwoarang | 11–14 | 44.00% |
| ma1lbu vs Clive | 10–11 | 47.62% |
| ma1lbu vs Law | 11–8 | 57.89% |
| ma1lbu vs Lee | 10–9 | 52.63% |
| ma1lbu vs Heihachi | 9–10 | 47.37% |
| ma1lbu vs Bryan | 7–11 | 38.89% |
| ma1lbu vs Yoshimitsu | 11–6 | 64.71% |
| ma1lbu vs Lili | 10–7 | 58.82% |
| ma1lbu vs Nina | 9–7 | 56.25% |
| ma1lbu vs Alisa | 10–5 | 66.67% |
| ma1lbu vs Leroy | 11–4 | 73.33% |
| ma1lbu vs Lidia | 12–3 | 80.00% |
| ma1lbu vs Anna | 10–5 | 66.67% |
| ma1lbu vs Jun | 6–8 | 42.86% |
| ma1lbu vs Victor | 4–9 | 30.77% |
| ma1lbu vs Leo | 10–2 | 83.33% |
| ma1lbu vs Azucena | 6–6 | 50.00% |
| ma1lbu vs Lars | 8–3 | 72.73% |
| ma1lbu vs Xiaoyu | 6–4 | 60.00% |
| ma1lbu vs Asuka | 8–2 | 80.00% |
| ma1lbu vs Armor King | 5–5 | 50.00% |
| ma1lbu vs Eddy | 6–3 | 66.67% |
| ma1lbu vs Devil Jin | 6–2 | 75.00% |
| ma1lbu vs Feng | 4–3 | 57.14% |
| ma1lbu vs Fahkumram | 2–4 | 33.33% |
| ma1lbu vs Paul | 2–3 | 40.00% |
| ma1lbu vs Jack-8 | 2–3 | 40.00% |
| ma1lbu vs Claudio | 2–2 | 50.00% |
| ma1lbu vs Zafina | 2–2 | 50.00% |
| ma1lbu vs Shaheen | 2–0 | 100.00% |
| ma1lbu vs Raven | 2–0 | 100.00% |
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.