| Mvrcos vs King | 97–116 | 45.54% |
| Mvrcos vs Jin | 112–98 | 53.33% |
| Mvrcos vs Steve | 87–107 | 44.85% |
| Mvrcos vs Kazuya | 76–94 | 44.71% |
| Mvrcos vs Hwoarang | 88–69 | 56.05% |
| Mvrcos vs Law | 65–85 | 43.33% |
| Mvrcos vs Reina | 55–89 | 38.19% |
| Mvrcos vs Azucena | 78–57 | 57.78% |
| Mvrcos vs Eddy | 73–55 | 57.03% |
| Mvrcos vs Bryan | 65–60 | 52.00% |
| Mvrcos vs Victor | 47–59 | 44.34% |
| Mvrcos vs Lars | 57–44 | 56.44% |
| Mvrcos vs Jun | 45–54–1 | 45.45% |
| Mvrcos vs Dragunov | 45–53–1 | 45.92% |
| Mvrcos vs Yoshimitsu | 30–65–2 | 31.58% |
| Mvrcos vs Lili | 49–48 | 50.52% |
| Mvrcos vs Armor King | 48–47 | 50.53% |
| Mvrcos vs Paul | 43–49 | 46.74% |
| Mvrcos vs Xiaoyu | 46–41 | 52.87% |
| Mvrcos vs Asuka | 37–46 | 44.58% |
| Mvrcos vs Feng | 35–44 | 44.30% |
| Mvrcos vs Leroy | 27–47 | 36.49% |
| Mvrcos vs Lee | 27–40 | 40.30% |
| Mvrcos vs Nina | 27–32 | 45.76% |
| Mvrcos vs Alisa | 27–31 | 46.55% |
| Mvrcos vs Miary Zo | 25–32 | 43.86% |
| Mvrcos vs Raven | 20–33 | 37.74% |
| Mvrcos vs Leo | 26–25 | 50.98% |
| Mvrcos vs Jack-8 | 23–27 | 46.00% |
| Mvrcos vs Devil Jin | 12–31 | 27.91% |
| Mvrcos vs Fahkumram | 20–22 | 47.62% |
| Mvrcos vs Shaheen | 11–19 | 36.67% |
| Mvrcos vs Heihachi | 13–13 | 50.00% |
| Mvrcos vs Zafina | 10–15 | 40.00% |
| Mvrcos vs Lidia | 14–10 | 58.33% |
| Mvrcos vs Kuma | 16–6 | 72.73% |
| Mvrcos vs Clive | 13–7 | 65.00% |
| Mvrcos vs Anna | 5–15 | 25.00% |
| Mvrcos vs Claudio | 6–12 | 33.33% |
| Mvrcos vs Panda | 4–8 | 33.33% |
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.