| MLisboa vs Jin | 252–223 | 53.05% |
| MLisboa vs Kazuya | 192–184 | 51.06% |
| MLisboa vs King | 204–171 | 54.40% |
| MLisboa vs Bryan | 157–169 | 48.16% |
| MLisboa vs Steve | 169–141 | 54.52% |
| MLisboa vs Lili | 129–132 | 49.43% |
| MLisboa vs Eddy | 144–115 | 55.60% |
| MLisboa vs Law | 146–105 | 58.17% |
| MLisboa vs Paul | 129–117 | 52.44% |
| MLisboa vs Hwoarang | 147–92 | 61.51% |
| MLisboa vs Reina | 114–111 | 50.67% |
| MLisboa vs Asuka | 98–92 | 51.58% |
| MLisboa vs Nina | 114–72 | 61.29% |
| MLisboa vs Devil Jin | 88–95 | 48.09% |
| MLisboa vs Alisa | 89–87 | 50.57% |
| MLisboa vs Dragunov | 80–95 | 45.71% |
| MLisboa vs Lidia | 105–69 | 60.34% |
| MLisboa vs Yoshimitsu | 66–92 | 41.77% |
| MLisboa vs Feng | 77–66 | 53.85% |
| MLisboa vs Lars | 79–62 | 56.03% |
| MLisboa vs Jun | 75–65 | 53.57% |
| MLisboa vs Heihachi | 72–67 | 51.80% |
| MLisboa vs Azucena | 65–73 | 47.10% |
| MLisboa vs Victor | 52–73 | 41.60% |
| MLisboa vs Lee | 53–64 | 45.30% |
| MLisboa vs Xiaoyu | 68–47 | 59.13% |
| MLisboa vs Jack-8 | 52–55 | 48.60% |
| MLisboa vs Leroy | 50–51 | 49.50% |
| MLisboa vs Raven | 48–52 | 48.00% |
| MLisboa vs Fahkumram | 33–67 | 33.00% |
| MLisboa vs Claudio | 34–48 | 41.46% |
| MLisboa vs Leo | 28–42 | 40.00% |
| MLisboa vs Panda | 32–29 | 52.46% |
| MLisboa vs Clive | 19–40 | 32.20% |
| MLisboa vs Anna | 31–25 | 55.36% |
| MLisboa vs Shaheen | 20–30 | 40.00% |
| MLisboa vs Armor King | 11–35 | 23.91% |
| MLisboa vs Kuma | 19–24 | 44.19% |
| MLisboa vs Zafina | 16–23 | 41.03% |
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.