| マキ Maki vs Reina | 76–118 | 39.18% |
| マキ Maki vs Kazuya | 67–111 | 37.64% |
| マキ Maki vs Dragunov | 59–82 | 41.84% |
| マキ Maki vs Asuka | 55–70–1 | 44.00% |
| マキ Maki vs King | 42–73 | 36.52% |
| マキ Maki vs Hwoarang | 27–87 | 23.68% |
| マキ Maki vs Lili | 41–65 | 38.68% |
| マキ Maki vs Jin | 39–55 | 41.49% |
| マキ Maki vs Paul | 31–56 | 35.63% |
| マキ Maki vs Steve | 32–50 | 39.02% |
| マキ Maki vs Bryan | 21–56 | 27.27% |
| マキ Maki vs Heihachi | 22–54 | 28.95% |
| マキ Maki vs Jun | 25–50 | 33.33% |
| マキ Maki vs Victor | 19–49 | 27.94% |
| マキ Maki vs Yoshimitsu | 22–40 | 35.48% |
| マキ Maki vs Lidia | 25–35 | 41.67% |
| マキ Maki vs Clive | 12–48 | 20.00% |
| マキ Maki vs Law | 14–42 | 25.00% |
| マキ Maki vs Azucena | 20–35 | 36.36% |
| マキ Maki vs Nina | 13–37 | 26.00% |
| マキ Maki vs Devil Jin | 11–34 | 24.44% |
| マキ Maki vs Eddy | 9–36 | 20.00% |
| マキ Maki vs Xiaoyu | 22–22 | 50.00% |
| マキ Maki vs Feng | 15–27 | 35.71% |
| マキ Maki vs Jack-8 | 12–26 | 31.58% |
| マキ Maki vs Alisa | 19–18 | 51.35% |
| マキ Maki vs Kuma | 11–24 | 31.43% |
| マキ Maki vs Claudio | 10–21 | 32.26% |
| マキ Maki vs Lee | 9–16 | 36.00% |
| マキ Maki vs Lars | 10–14 | 41.67% |
| マキ Maki vs Leroy | 10–14 | 41.67% |
| マキ Maki vs Leo | 3–11 | 21.43% |
| マキ Maki vs Raven | 6–8 | 42.86% |
| マキ Maki vs Shaheen | 5–6 | 45.45% |
| マキ Maki vs Zafina | 3–6 | 33.33% |
| マキ Maki vs Panda | 4–2 | 66.67% |
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.