| Mrxq vs Kazuya | 28–25 | 52.83% |
| Mrxq vs King | 18–29 | 38.30% |
| Mrxq vs Reina | 21–24 | 46.67% |
| Mrxq vs Paul | 22–19 | 53.66% |
| Mrxq vs Dragunov | 15–22 | 40.54% |
| Mrxq vs Jin | 18–15 | 54.55% |
| Mrxq vs Steve | 18–14 | 56.25% |
| Mrxq vs Victor | 15–16 | 48.39% |
| Mrxq vs Bryan | 15–14 | 51.72% |
| Mrxq vs Yoshimitsu | 15–13 | 53.57% |
| Mrxq vs Claudio | 14–12 | 53.85% |
| Mrxq vs Law | 14–11 | 56.00% |
| Mrxq vs Asuka | 12–12 | 50.00% |
| Mrxq vs Anna | 15–9 | 62.50% |
| Mrxq vs Heihachi | 9–11 | 45.00% |
| Mrxq vs Xiaoyu | 9–9 | 50.00% |
| Mrxq vs Hwoarang | 6–11 | 35.29% |
| Mrxq vs Lili | 5–11 | 31.25% |
| Mrxq vs Clive | 8–7 | 53.33% |
| Mrxq vs Devil Jin | 7–6 | 53.85% |
| Mrxq vs Alisa | 8–4 | 66.67% |
| Mrxq vs Armor King | 8–4 | 66.67% |
| Mrxq vs Feng | 2–8 | 20.00% |
| Mrxq vs Eddy | 2–8 | 20.00% |
| Mrxq vs Nina | 3–5 | 37.50% |
| Mrxq vs Azucena | 5–3 | 62.50% |
| Mrxq vs Jun | 5–2 | 71.43% |
| Mrxq vs Leo | 4–2 | 66.67% |
| Mrxq vs Lars | 3–3 | 50.00% |
| Mrxq vs Lee | 3–2 | 60.00% |
| Mrxq vs Raven | 1–4 | 20.00% |
| Mrxq vs Jack-8 | 2–2 | 50.00% |
| Mrxq vs Kuma | 2–2 | 50.00% |
| Mrxq vs Shaheen | 1–2 | 33.33% |
| Mrxq vs Panda | 1–2 | 33.33% |
| Mrxq vs Zafina | 2–1 | 66.67% |
| Mrxq vs Lidia | 1–2 | 33.33% |
| Mrxq vs Fahkumram | 1–2 | 33.33% |
| Mrxq vs Leroy | 2–0 | 100.00% |
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.