| MVS4 vs King | 88–89 | 49.72% |
| MVS4 vs Kazuya | 102–59 | 63.35% |
| MVS4 vs Jin | 80–74 | 51.95% |
| MVS4 vs Heihachi | 79–58 | 57.66% |
| MVS4 vs Steve | 60–74 | 44.78% |
| MVS4 vs Dragunov | 59–66 | 47.20% |
| MVS4 vs Reina | 58–62 | 48.33% |
| MVS4 vs Bryan | 51–60 | 45.95% |
| MVS4 vs Lili | 43–50 | 46.24% |
| MVS4 vs Hwoarang | 38–52 | 42.22% |
| MVS4 vs Paul | 30–52 | 36.59% |
| MVS4 vs Yoshimitsu | 26–52 | 33.33% |
| MVS4 vs Asuka | 34–34 | 50.00% |
| MVS4 vs Lee | 23–43 | 34.85% |
| MVS4 vs Azucena | 32–34 | 48.48% |
| MVS4 vs Law | 19–44 | 30.16% |
| MVS4 vs Jun | 23–39 | 37.10% |
| MVS4 vs Devil Jin | 29–32 | 47.54% |
| MVS4 vs Victor | 29–32 | 47.54% |
| MVS4 vs Eddy | 21–37 | 36.21% |
| MVS4 vs Armor King | 24–34 | 41.38% |
| MVS4 vs Lars | 29–27 | 51.79% |
| MVS4 vs Nina | 25–24 | 51.02% |
| MVS4 vs Leo | 19–25 | 43.18% |
| MVS4 vs Clive | 21–23 | 47.73% |
| MVS4 vs Xiaoyu | 10–28 | 26.32% |
| MVS4 vs Feng | 16–21 | 43.24% |
| MVS4 vs Raven | 12–23 | 34.29% |
| MVS4 vs Leroy | 16–18 | 47.06% |
| MVS4 vs Lidia | 12–18 | 40.00% |
| MVS4 vs Jack-8 | 5–23 | 17.86% |
| MVS4 vs Fahkumram | 10–15 | 40.00% |
| MVS4 vs Zafina | 8–14 | 36.36% |
| MVS4 vs Claudio | 8–11 | 42.11% |
| MVS4 vs Alisa | 8–9 | 47.06% |
| MVS4 vs Shaheen | 5–8 | 38.46% |
| MVS4 vs Anna | 8–4 | 66.67% |
| MVS4 vs Panda | 6–5 | 54.55% |
| MVS4 vs Kuma | 4–6 | 40.00% |
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.