| M@lcriao vs Armor King | 62–41 | 60.19% |
| M@lcriao vs Hwoarang | 37–33 | 52.86% |
| M@lcriao vs Jin | 29–39 | 42.65% |
| M@lcriao vs Kazuya | 39–27 | 59.09% |
| M@lcriao vs Bryan | 36–18 | 66.67% |
| M@lcriao vs King | 29–24 | 54.72% |
| M@lcriao vs Law | 19–28 | 40.43% |
| M@lcriao vs Xiaoyu | 22–22 | 50.00% |
| M@lcriao vs Azucena | 19–23 | 45.24% |
| M@lcriao vs Paul | 25–16 | 60.98% |
| M@lcriao vs Lee | 28–11 | 71.79% |
| M@lcriao vs Miary Zo | 24–15 | 61.54% |
| M@lcriao vs Reina | 24–14 | 63.16% |
| M@lcriao vs Jun | 19–18 | 51.35% |
| M@lcriao vs Heihachi | 22–15 | 59.46% |
| M@lcriao vs Steve | 21–14 | 60.00% |
| M@lcriao vs Lili | 19–16 | 54.29% |
| M@lcriao vs Lidia | 19–16 | 54.29% |
| M@lcriao vs Feng | 12–21 | 36.36% |
| M@lcriao vs Lars | 17–15 | 53.12% |
| M@lcriao vs Fahkumram | 12–20 | 37.50% |
| M@lcriao vs Dragunov | 19–12 | 61.29% |
| M@lcriao vs Yoshimitsu | 16–12 | 57.14% |
| M@lcriao vs Asuka | 16–11 | 59.26% |
| M@lcriao vs Eddy | 15–9 | 62.50% |
| M@lcriao vs Raven | 16–7 | 69.57% |
| M@lcriao vs Devil Jin | 11–11 | 50.00% |
| M@lcriao vs Victor | 8–14 | 36.36% |
| M@lcriao vs Leroy | 16–5 | 76.19% |
| M@lcriao vs Shaheen | 15–4 | 78.95% |
| M@lcriao vs Anna | 9–10 | 47.37% |
| M@lcriao vs Leo | 6–10 | 37.50% |
| M@lcriao vs Nina | 8–8 | 50.00% |
| M@lcriao vs Clive | 8–8 | 50.00% |
| M@lcriao vs Jack-8 | 8–5 | 61.54% |
| M@lcriao vs Alisa | 5–7 | 41.67% |
| M@lcriao vs Claudio | 6–6 | 50.00% |
| M@lcriao vs Kuma | 7–2 | 77.78% |
| M@lcriao vs Zafina | 3–3 | 50.00% |
| M@lcriao vs Panda | 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.