| Maflacm vs Jin | 31–45 | 40.79% |
| Maflacm vs King | 32–42 | 43.24% |
| Maflacm vs Reina | 32–39 | 45.07% |
| Maflacm vs Kazuya | 30–36 | 45.45% |
| Maflacm vs Lidia | 28–35 | 44.44% |
| Maflacm vs Hwoarang | 31–27 | 53.45% |
| Maflacm vs Steve | 31–21 | 59.62% |
| Maflacm vs Law | 22–26 | 45.83% |
| Maflacm vs Dragunov | 16–30 | 34.78% |
| Maflacm vs Bryan | 22–21 | 51.16% |
| Maflacm vs Yoshimitsu | 11–26 | 29.73% |
| Maflacm vs Victor | 20–17 | 54.05% |
| Maflacm vs Eddy | 13–24 | 35.14% |
| Maflacm vs Lars | 14–20 | 41.18% |
| Maflacm vs Lili | 8–23 | 25.81% |
| Maflacm vs Jun | 14–17 | 45.16% |
| Maflacm vs Azucena | 18–12 | 60.00% |
| Maflacm vs Alisa | 16–11 | 59.26% |
| Maflacm vs Lee | 12–14 | 46.15% |
| Maflacm vs Xiaoyu | 10–10 | 50.00% |
| Maflacm vs Feng | 7–13 | 35.00% |
| Maflacm vs Leo | 12–8 | 60.00% |
| Maflacm vs Nina | 7–13 | 35.00% |
| Maflacm vs Asuka | 13–6 | 68.42% |
| Maflacm vs Paul | 12–6 | 66.67% |
| Maflacm vs Kuma | 9–9 | 50.00% |
| Maflacm vs Shaheen | 9–7 | 56.25% |
| Maflacm vs Leroy | 7–9 | 43.75% |
| Maflacm vs Raven | 5–11 | 31.25% |
| Maflacm vs Devil Jin | 7–7 | 50.00% |
| Maflacm vs Claudio | 3–8 | 27.27% |
| Maflacm vs Heihachi | 10–1 | 90.91% |
| Maflacm vs Clive | 7–4 | 63.64% |
| Maflacm vs Jack-8 | 2–6 | 25.00% |
| Maflacm vs Anna | 6–1 | 85.71% |
| Maflacm vs Zafina | 3–3 | 50.00% |
| Maflacm vs Armor King | 1–3 | 25.00% |
| Maflacm vs Panda | 2–1 | 66.67% |
| Maflacm vs Fahkumram | 2–1 | 66.67% |
| Maflacm vs Miary Zo | 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.