| MBP987 vs Lidia | 55–63 | 46.61% |
| MBP987 vs King | 70–41 | 63.06% |
| MBP987 vs Reina | 55–44 | 55.56% |
| MBP987 vs Kazuya | 51–44 | 53.68% |
| MBP987 vs Hwoarang | 43–41 | 51.19% |
| MBP987 vs Jin | 45–38–1 | 54.22% |
| MBP987 vs Law | 41–42 | 49.40% |
| MBP987 vs Yoshimitsu | 39–35 | 52.70% |
| MBP987 vs Eddy | 41–33 | 55.41% |
| MBP987 vs Lili | 37–33 | 52.86% |
| MBP987 vs Azucena | 35–33 | 51.47% |
| MBP987 vs Bryan | 33–33 | 50.00% |
| MBP987 vs Lee | 35–31 | 53.03% |
| MBP987 vs Nina | 28–30 | 48.28% |
| MBP987 vs Steve | 29–26 | 52.73% |
| MBP987 vs Paul | 25–29 | 46.30% |
| MBP987 vs Devil Jin | 24–30 | 44.44% |
| MBP987 vs Dragunov | 24–30 | 44.44% |
| MBP987 vs Lars | 30–20 | 60.00% |
| MBP987 vs Xiaoyu | 23–26 | 46.94% |
| MBP987 vs Jun | 27–22 | 55.10% |
| MBP987 vs Raven | 19–30 | 38.78% |
| MBP987 vs Jack-8 | 25–23 | 52.08% |
| MBP987 vs Leo | 18–18 | 50.00% |
| MBP987 vs Leroy | 19–17 | 52.78% |
| MBP987 vs Asuka | 21–14 | 60.00% |
| MBP987 vs Alisa | 23–12 | 65.71% |
| MBP987 vs Victor | 24–10 | 70.59% |
| MBP987 vs Claudio | 20–13 | 60.61% |
| MBP987 vs Zafina | 14–15 | 48.28% |
| MBP987 vs Feng | 4–15 | 21.05% |
| MBP987 vs Kuma | 9–9 | 50.00% |
| MBP987 vs Shaheen | 5–10 | 33.33% |
| MBP987 vs Heihachi | 1–2 | 33.33% |
| MBP987 vs Panda | 1–1 | 50.00% |
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.