| RMQ4 vs Kazuya | 125–125 | 50.00% |
| RMQ4 vs Jin | 82–105 | 43.85% |
| RMQ4 vs Bryan | 63–64 | 49.61% |
| RMQ4 vs King | 42–83 | 33.60% |
| RMQ4 vs Heihachi | 57–64–1 | 47.11% |
| RMQ4 vs Dragunov | 49–68 | 41.88% |
| RMQ4 vs Steve | 39–56 | 41.05% |
| RMQ4 vs Armor King | 43–48 | 47.25% |
| RMQ4 vs Law | 36–47 | 43.37% |
| RMQ4 vs Paul | 36–35 | 50.70% |
| RMQ4 vs Reina | 33–26 | 55.93% |
| RMQ4 vs Lee | 25–33 | 43.10% |
| RMQ4 vs Yoshimitsu | 23–34 | 40.35% |
| RMQ4 vs Hwoarang | 19–37 | 33.93% |
| RMQ4 vs Fahkumram | 18–34 | 34.62% |
| RMQ4 vs Asuka | 20–28 | 41.67% |
| RMQ4 vs Victor | 24–23 | 51.06% |
| RMQ4 vs Lili | 21–23 | 47.73% |
| RMQ4 vs Lars | 26–18 | 59.09% |
| RMQ4 vs Azucena | 23–20 | 53.49% |
| RMQ4 vs Nina | 14–26 | 35.00% |
| RMQ4 vs Anna | 15–24 | 38.46% |
| RMQ4 vs Devil Jin | 13–24 | 35.14% |
| RMQ4 vs Jun | 12–21 | 36.36% |
| RMQ4 vs Eddy | 11–21 | 34.38% |
| RMQ4 vs Xiaoyu | 16–15 | 51.61% |
| RMQ4 vs Alisa | 4–20 | 16.67% |
| RMQ4 vs Shaheen | 10–10 | 50.00% |
| RMQ4 vs Jack-8 | 12–6 | 66.67% |
| RMQ4 vs Feng | 4–13 | 23.53% |
| RMQ4 vs Leroy | 9–8 | 52.94% |
| RMQ4 vs Claudio | 5–11 | 31.25% |
| RMQ4 vs Clive | 6–9 | 40.00% |
| RMQ4 vs Miary Zo | 6–9 | 40.00% |
| RMQ4 vs Kuma | 4–8 | 33.33% |
| RMQ4 vs Lidia | 6–5 | 54.55% |
| RMQ4 vs Leo | 6–3 | 66.67% |
| RMQ4 vs Raven | 5–4 | 55.56% |
| RMQ4 vs Zafina | 4–2 | 66.67% |
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.