| M@lcriao vs Armor King | 45–32 | 58.44% |
| M@lcriao vs Hwoarang | 28–29 | 49.12% |
| M@lcriao vs Kazuya | 27–21 | 56.25% |
| M@lcriao vs Jin | 22–21 | 51.16% |
| M@lcriao vs King | 24–15 | 61.54% |
| M@lcriao vs Bryan | 25–13 | 65.79% |
| M@lcriao vs Miary Zo | 23–13 | 63.89% |
| M@lcriao vs Law | 14–19 | 42.42% |
| M@lcriao vs Lee | 23–7 | 76.67% |
| M@lcriao vs Azucena | 15–12 | 55.56% |
| M@lcriao vs Heihachi | 15–11 | 57.69% |
| M@lcriao vs Xiaoyu | 13–12 | 52.00% |
| M@lcriao vs Lili | 11–14 | 44.00% |
| M@lcriao vs Lars | 14–11 | 56.00% |
| M@lcriao vs Paul | 15–9 | 62.50% |
| M@lcriao vs Reina | 14–10 | 58.33% |
| M@lcriao vs Steve | 13–10 | 56.52% |
| M@lcriao vs Jun | 14–9 | 60.87% |
| M@lcriao vs Lidia | 12–11 | 52.17% |
| M@lcriao vs Asuka | 12–10 | 54.55% |
| M@lcriao vs Fahkumram | 9–11 | 45.00% |
| M@lcriao vs Yoshimitsu | 12–7 | 63.16% |
| M@lcriao vs Feng | 7–10 | 41.18% |
| M@lcriao vs Dragunov | 12–5 | 70.59% |
| M@lcriao vs Leroy | 12–5 | 70.59% |
| M@lcriao vs Raven | 10–5 | 66.67% |
| M@lcriao vs Eddy | 9–6 | 60.00% |
| M@lcriao vs Devil Jin | 9–4 | 69.23% |
| M@lcriao vs Shaheen | 11–2 | 84.62% |
| M@lcriao vs Nina | 4–6 | 40.00% |
| M@lcriao vs Claudio | 5–4 | 55.56% |
| M@lcriao vs Kuma | 7–2 | 77.78% |
| M@lcriao vs Clive | 4–5 | 44.44% |
| M@lcriao vs Anna | 5–4 | 55.56% |
| M@lcriao vs Jack-8 | 5–3 | 62.50% |
| M@lcriao vs Alisa | 3–5 | 37.50% |
| M@lcriao vs Victor | 6–2 | 75.00% |
| M@lcriao vs Leo | 2–5 | 28.57% |
| M@lcriao vs Zafina | 0–2 | 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.