| mkplayerr vs Kazuya | 37–44 | 45.68% |
| mkplayerr vs King | 34–42 | 44.74% |
| mkplayerr vs Jin | 26–37 | 41.27% |
| mkplayerr vs Heihachi | 22–37 | 37.29% |
| mkplayerr vs Reina | 32–25 | 56.14% |
| mkplayerr vs Steve | 28–26 | 51.85% |
| mkplayerr vs Hwoarang | 24–27 | 47.06% |
| mkplayerr vs Jun | 25–22 | 53.19% |
| mkplayerr vs Law | 26–18 | 59.09% |
| mkplayerr vs Dragunov | 12–26 | 31.58% |
| mkplayerr vs Azucena | 17–16 | 51.52% |
| mkplayerr vs Lars | 20–11 | 64.52% |
| mkplayerr vs Yoshimitsu | 14–15 | 48.28% |
| mkplayerr vs Lee | 20–9 | 68.97% |
| mkplayerr vs Asuka | 12–14 | 46.15% |
| mkplayerr vs Victor | 13–12 | 52.00% |
| mkplayerr vs Eddy | 12–9 | 57.14% |
| mkplayerr vs Lidia | 12–9 | 57.14% |
| mkplayerr vs Kuma | 4–16 | 20.00% |
| mkplayerr vs Paul | 8–11 | 42.11% |
| mkplayerr vs Bryan | 6–12 | 33.33% |
| mkplayerr vs Alisa | 6–11 | 35.29% |
| mkplayerr vs Claudio | 4–13 | 23.53% |
| mkplayerr vs Nina | 6–11 | 35.29% |
| mkplayerr vs Lili | 7–8 | 46.67% |
| mkplayerr vs Shaheen | 12–3 | 80.00% |
| mkplayerr vs Feng | 8–6 | 57.14% |
| mkplayerr vs Leo | 4–10 | 28.57% |
| mkplayerr vs Xiaoyu | 6–6 | 50.00% |
| mkplayerr vs Jack-8 | 3–9 | 25.00% |
| mkplayerr vs Zafina | 5–7 | 41.67% |
| mkplayerr vs Devil Jin | 1–8 | 11.11% |
| mkplayerr vs Leroy | 4–5 | 44.44% |
| mkplayerr vs Panda | 0–6 | 0.00% |
| mkplayerr vs Clive | 1–3 | 25.00% |
| mkplayerr vs Raven | 1–2 | 33.33% |
| mkplayerr vs Fahkumram | 1–2 | 33.33% |
| mkplayerr vs Miary Zo | 2–1 | 66.67% |
| mkplayerr vs Armor King | 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.