| MPlxzx vs King | 17–17 | 50.00% |
| MPlxzx vs Kazuya | 19–14 | 57.58% |
| MPlxzx vs Jin | 13–19 | 40.62% |
| MPlxzx vs Dragunov | 17–12 | 58.62% |
| MPlxzx vs Eddy | 6–20 | 23.08% |
| MPlxzx vs Bryan | 13–12 | 52.00% |
| MPlxzx vs Paul | 10–14 | 41.67% |
| MPlxzx vs Reina | 14–10 | 58.33% |
| MPlxzx vs Law | 11–11 | 50.00% |
| MPlxzx vs Asuka | 11–9 | 55.00% |
| MPlxzx vs Hwoarang | 11–8 | 57.89% |
| MPlxzx vs Steve | 11–7 | 61.11% |
| MPlxzx vs Jun | 11–7 | 61.11% |
| MPlxzx vs Azucena | 9–9 | 50.00% |
| MPlxzx vs Lili | 7–5 | 58.33% |
| MPlxzx vs Nina | 4–8 | 33.33% |
| MPlxzx vs Fahkumram | 6–6 | 50.00% |
| MPlxzx vs Devil Jin | 7–4 | 63.64% |
| MPlxzx vs Feng | 6–4 | 60.00% |
| MPlxzx vs Victor | 6–3 | 66.67% |
| MPlxzx vs Xiaoyu | 4–4 | 50.00% |
| MPlxzx vs Leo | 5–3 | 62.50% |
| MPlxzx vs Raven | 4–4 | 50.00% |
| MPlxzx vs Clive | 3–5 | 37.50% |
| MPlxzx vs Jack-8 | 3–4 | 42.86% |
| MPlxzx vs Lars | 5–2 | 71.43% |
| MPlxzx vs Alisa | 3–3 | 50.00% |
| MPlxzx vs Kuma | 3–3 | 50.00% |
| MPlxzx vs Yoshimitsu | 2–3 | 40.00% |
| MPlxzx vs Claudio | 2–3 | 40.00% |
| MPlxzx vs Lee | 1–4 | 20.00% |
| MPlxzx vs Leroy | 2–3 | 40.00% |
| MPlxzx vs Heihachi | 2–3 | 40.00% |
| MPlxzx vs Shaheen | 1–3 | 25.00% |
| MPlxzx vs Zafina | 1–1 | 50.00% |
| MPlxzx vs Lidia | 2–0 | 100.00% |
| MPlxzx vs Anna | 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.