| MK_player vs Paul | 39–12 | 76.47% |
| MK_player vs Dragunov | 29–10 | 74.36% |
| MK_player vs Reina | 29–6 | 82.86% |
| MK_player vs Jin | 21–11 | 65.62% |
| MK_player vs Kazuya | 23–7 | 76.67% |
| MK_player vs Victor | 27–3 | 90.00% |
| MK_player vs Lili | 21–6 | 77.78% |
| MK_player vs Bryan | 19–7 | 73.08% |
| MK_player vs Yoshimitsu | 19–4 | 82.61% |
| MK_player vs Steve | 12–11 | 52.17% |
| MK_player vs Asuka | 19–4 | 82.61% |
| MK_player vs King | 21–0 | 100.00% |
| MK_player vs Jun | 15–6 | 71.43% |
| MK_player vs Hwoarang | 15–4 | 78.95% |
| MK_player vs Heihachi | 11–7 | 61.11% |
| MK_player vs Law | 14–2 | 87.50% |
| MK_player vs Devil Jin | 12–3 | 80.00% |
| MK_player vs Claudio | 10–5 | 66.67% |
| MK_player vs Clive | 11–3 | 78.57% |
| MK_player vs Leo | 8–4 | 66.67% |
| MK_player vs Nina | 11–1 | 91.67% |
| MK_player vs Kuma | 10–2 | 83.33% |
| MK_player vs Lee | 9–2 | 81.82% |
| MK_player vs Azucena | 9–1 | 90.00% |
| MK_player vs Lidia | 9–0 | 100.00% |
| MK_player vs Armor King | 7–2 | 77.78% |
| MK_player vs Alisa | 7–1 | 87.50% |
| MK_player vs Xiaoyu | 5–2 | 71.43% |
| MK_player vs Feng | 6–1 | 85.71% |
| MK_player vs Lars | 6–0 | 100.00% |
| MK_player vs Leroy | 4–2 | 66.67% |
| MK_player vs Raven | 3–3 | 50.00% |
| MK_player vs Eddy | 5–0 | 100.00% |
| MK_player vs Fahkumram | 3–0 | 100.00% |
| MK_player vs Jack-8 | 0–2 | 0.00% |
| MK_player vs Shaheen | 2–0 | 100.00% |
| MK_player vs Panda | 2–0 | 100.00% |
| MK_player vs Zafina | 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.