| MKVCD vs Armor King | 15–32 | 31.91% |
| MKVCD vs Reina | 18–24 | 42.86% |
| MKVCD vs Steve | 18–21 | 46.15% |
| MKVCD vs King | 16–17 | 48.48% |
| MKVCD vs Hwoarang | 12–20 | 37.50% |
| MKVCD vs Law | 9–17 | 34.62% |
| MKVCD vs Yoshimitsu | 8–12 | 40.00% |
| MKVCD vs Bryan | 9–11 | 45.00% |
| MKVCD vs Kazuya | 12–7 | 63.16% |
| MKVCD vs Lee | 6–13 | 31.58% |
| MKVCD vs Dragunov | 7–11 | 38.89% |
| MKVCD vs Jin | 10–7 | 58.82% |
| MKVCD vs Jun | 7–10 | 41.18% |
| MKVCD vs Eddy | 4–13 | 23.53% |
| MKVCD vs Lili | 5–10 | 33.33% |
| MKVCD vs Azucena | 1–14 | 6.67% |
| MKVCD vs Lars | 4–9 | 30.77% |
| MKVCD vs Lidia | 8–5 | 61.54% |
| MKVCD vs Devil Jin | 2–10 | 16.67% |
| MKVCD vs Heihachi | 4–8 | 33.33% |
| MKVCD vs Asuka | 3–8 | 27.27% |
| MKVCD vs Alisa | 5–5 | 50.00% |
| MKVCD vs Feng | 4–2 | 66.67% |
| MKVCD vs Zafina | 1–5 | 16.67% |
| MKVCD vs Fahkumram | 3–3 | 50.00% |
| MKVCD vs Miary Zo | 2–4 | 33.33% |
| MKVCD vs Paul | 2–3 | 40.00% |
| MKVCD vs Nina | 2–3 | 40.00% |
| MKVCD vs Raven | 2–3 | 40.00% |
| MKVCD vs Anna | 3–2 | 60.00% |
| MKVCD vs Victor | 4–0 | 100.00% |
| MKVCD vs Xiaoyu | 2–1 | 66.67% |
| MKVCD vs Shaheen | 2–1 | 66.67% |
| MKVCD vs Clive | 0–3 | 0.00% |
| MKVCD vs Leo | 0–2 | 0.00% |
| MKVCD vs Claudio | 0–1 | 0.00% |
| MKVCD vs Panda | 0–1 | 0.00% |
| MKVCD vs Leroy | 1–0 | 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.