| MKS| Ralpx vs Kazuya | 53–28 | 65.43% |
| MKS| Ralpx vs Dragunov | 48–13 | 78.69% |
| MKS| Ralpx vs Jin | 31–26 | 54.39% |
| MKS| Ralpx vs Bryan | 26–17 | 60.47% |
| MKS| Ralpx vs Steve | 24–16 | 60.00% |
| MKS| Ralpx vs Heihachi | 17–21 | 44.74% |
| MKS| Ralpx vs Reina | 19–13 | 59.38% |
| MKS| Ralpx vs Hwoarang | 14–16 | 46.67% |
| MKS| Ralpx vs Paul | 13–12 | 52.00% |
| MKS| Ralpx vs Lili | 12–13 | 48.00% |
| MKS| Ralpx vs Azucena | 11–14 | 44.00% |
| MKS| Ralpx vs Yoshimitsu | 13–9–2 | 59.09% |
| MKS| Ralpx vs Law | 10–13 | 43.48% |
| MKS| Ralpx vs Victor | 14–9 | 60.87% |
| MKS| Ralpx vs Clive | 11–12 | 47.83% |
| MKS| Ralpx vs King | 13–7 | 65.00% |
| MKS| Ralpx vs Shaheen | 12–6 | 66.67% |
| MKS| Ralpx vs Lee | 9–9 | 50.00% |
| MKS| Ralpx vs Claudio | 6–11 | 35.29% |
| MKS| Ralpx vs Asuka | 6–10 | 37.50% |
| MKS| Ralpx vs Devil Jin | 7–9 | 43.75% |
| MKS| Ralpx vs Alisa | 4–11 | 26.67% |
| MKS| Ralpx vs Feng | 8–6 | 57.14% |
| MKS| Ralpx vs Eddy | 11–3 | 78.57% |
| MKS| Ralpx vs Armor King | 5–9 | 35.71% |
| MKS| Ralpx vs Leo | 9–2 | 81.82% |
| MKS| Ralpx vs Leroy | 6–4 | 60.00% |
| MKS| Ralpx vs Lidia | 2–7 | 22.22% |
| MKS| Ralpx vs Jun | 4–4 | 50.00% |
| MKS| Ralpx vs Lars | 1–6 | 14.29% |
| MKS| Ralpx vs Nina | 3–3 | 50.00% |
| MKS| Ralpx vs Jack-8 | 4–1 | 80.00% |
| MKS| Ralpx vs Kuma | 3–2 | 60.00% |
| MKS| Ralpx vs Xiaoyu | 1–3 | 25.00% |
| MKS| Ralpx vs Raven | 1–3 | 25.00% |
| MKS| Ralpx vs Zafina | 0–3 | 0.00% |
| MKS| Ralpx vs Fahkumram | 1–2 | 33.33% |
| MKS| Ralpx vs Miary Zo | 0–1 | 0.00% |
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.