| M4llu vs Kazuya | 31–25 | 55.36% |
| M4llu vs Reina | 31–23 | 57.41% |
| M4llu vs Bryan | 23–14 | 62.16% |
| M4llu vs Lili | 19–15 | 55.88% |
| M4llu vs King | 14–18 | 43.75% |
| M4llu vs Jin | 17–15 | 53.12% |
| M4llu vs Paul | 10–17 | 37.04% |
| M4llu vs Dragunov | 16–11 | 59.26% |
| M4llu vs Victor | 15–12 | 55.56% |
| M4llu vs Armor King | 14–12 | 53.85% |
| M4llu vs Hwoarang | 12–13 | 48.00% |
| M4llu vs Yoshimitsu | 14–9 | 60.87% |
| M4llu vs Steve | 11–10 | 52.38% |
| M4llu vs Asuka | 12–9 | 57.14% |
| M4llu vs Jun | 9–12 | 42.86% |
| M4llu vs Law | 7–12 | 36.84% |
| M4llu vs Azucena | 8–11 | 42.11% |
| M4llu vs Lars | 9–9 | 50.00% |
| M4llu vs Lee | 5–9 | 35.71% |
| M4llu vs Heihachi | 8–6 | 57.14% |
| M4llu vs Devil Jin | 8–4 | 66.67% |
| M4llu vs Feng | 5–6 | 45.45% |
| M4llu vs Anna | 4–7 | 36.36% |
| M4llu vs Claudio | 4–6 | 40.00% |
| M4llu vs Nina | 4–6 | 40.00% |
| M4llu vs Eddy | 9–1 | 90.00% |
| M4llu vs Jack-8 | 4–5 | 44.44% |
| M4llu vs Fahkumram | 5–4 | 55.56% |
| M4llu vs Xiaoyu | 4–4 | 50.00% |
| M4llu vs Alisa | 3–3 | 50.00% |
| M4llu vs Kuma | 2–3 | 40.00% |
| M4llu vs Raven | 4–1 | 80.00% |
| M4llu vs Lidia | 3–2 | 60.00% |
| M4llu vs Leo | 3–1 | 75.00% |
| M4llu vs Leroy | 4–0 | 100.00% |
| M4llu vs Zafina | 3–0 | 100.00% |
| M4llu vs Clive | 3–0 | 100.00% |
| M4llu 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.