| MBxYUBI vs Jin | 180–161 | 52.79% |
| MBxYUBI vs Bryan | 124–152 | 44.93% |
| MBxYUBI vs Kazuya | 113–119 | 48.71% |
| MBxYUBI vs King | 114–102 | 52.78% |
| MBxYUBI vs Hwoarang | 119–88 | 57.49% |
| MBxYUBI vs Lili | 113–93 | 54.85% |
| MBxYUBI vs Dragunov | 104–100 | 50.98% |
| MBxYUBI vs Law | 96–94 | 50.53% |
| MBxYUBI vs Steve | 79–101 | 43.89% |
| MBxYUBI vs Armor King | 85–92 | 48.02% |
| MBxYUBI vs Lars | 85–91 | 48.30% |
| MBxYUBI vs Reina | 97–76 | 56.07% |
| MBxYUBI vs Heihachi | 74–90 | 45.12% |
| MBxYUBI vs Yoshimitsu | 80–79 | 50.31% |
| MBxYUBI vs Paul | 75–80 | 48.39% |
| MBxYUBI vs Devil Jin | 71–75 | 48.63% |
| MBxYUBI vs Lee | 65–62 | 51.18% |
| MBxYUBI vs Xiaoyu | 66–56 | 54.10% |
| MBxYUBI vs Jun | 53–58 | 47.75% |
| MBxYUBI vs Victor | 49–61 | 44.55% |
| MBxYUBI vs Feng | 60–44 | 57.69% |
| MBxYUBI vs Asuka | 45–54 | 45.45% |
| MBxYUBI vs Jack-8 | 44–52 | 45.83% |
| MBxYUBI vs Leo | 43–50 | 46.24% |
| MBxYUBI vs Claudio | 39–47 | 45.35% |
| MBxYUBI vs Raven | 42–42 | 50.00% |
| MBxYUBI vs Anna | 32–52 | 38.10% |
| MBxYUBI vs Zafina | 35–42 | 45.45% |
| MBxYUBI vs Fahkumram | 39–35 | 52.70% |
| MBxYUBI vs Azucena | 38–35 | 52.05% |
| MBxYUBI vs Lidia | 29–43 | 40.28% |
| MBxYUBI vs Clive | 30–41 | 42.25% |
| MBxYUBI vs Nina | 43–27 | 61.43% |
| MBxYUBI vs Alisa | 36–33 | 52.17% |
| MBxYUBI vs Shaheen | 28–40 | 41.18% |
| MBxYUBI vs Eddy | 28–40 | 41.18% |
| MBxYUBI vs Miary Zo | 28–37 | 43.08% |
| MBxYUBI vs Leroy | 27–32 | 45.76% |
| MBxYUBI vs Kuma | 10–10 | 50.00% |
| MBxYUBI vs Panda | 5–14 | 26.32% |
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.