| Mak1 vs Kazuya | 56–10 | 84.85% |
| Mak1 vs King | 51–13 | 79.69% |
| Mak1 vs Armor King | 51–12 | 80.95% |
| Mak1 vs Bryan | 46–13 | 77.97% |
| Mak1 vs Jin | 38–7 | 84.44% |
| Mak1 vs Steve | 33–10 | 76.74% |
| Mak1 vs Miary Zo | 27–12 | 69.23% |
| Mak1 vs Paul | 23–11 | 67.65% |
| Mak1 vs Lili | 23–9 | 71.88% |
| Mak1 vs Hwoarang | 27–4 | 87.10% |
| Mak1 vs Reina | 22–6 | 78.57% |
| Mak1 vs Dragunov | 24–3 | 88.89% |
| Mak1 vs Heihachi | 23–4 | 85.19% |
| Mak1 vs Devil Jin | 18–8 | 69.23% |
| Mak1 vs Lee | 17–9 | 65.38% |
| Mak1 vs Yoshimitsu | 16–8 | 66.67% |
| Mak1 vs Feng | 24–0 | 100.00% |
| Mak1 vs Lars | 19–2 | 90.48% |
| Mak1 vs Eddy | 16–5 | 76.19% |
| Mak1 vs Fahkumram | 16–4 | 80.00% |
| Mak1 vs Law | 16–2 | 88.89% |
| Mak1 vs Alisa | 12–4 | 75.00% |
| Mak1 vs Jack-8 | 12–1 | 92.31% |
| Mak1 vs Nina | 11–2 | 84.62% |
| Mak1 vs Azucena | 10–3 | 76.92% |
| Mak1 vs Claudio | 10–2 | 83.33% |
| Mak1 vs Clive | 9–3 | 75.00% |
| Mak1 vs Anna | 9–3 | 75.00% |
| Mak1 vs Xiaoyu | 10–1 | 90.91% |
| Mak1 vs Leo | 7–4 | 63.64% |
| Mak1 vs Asuka | 9–1 | 90.00% |
| Mak1 vs Jun | 8–2 | 80.00% |
| Mak1 vs Lidia | 8–2 | 80.00% |
| Mak1 vs Raven | 6–1 | 85.71% |
| Mak1 vs Zafina | 5–1 | 83.33% |
| Mak1 vs Kuma | 3–2 | 60.00% |
| Mak1 vs Victor | 5–0 | 100.00% |
| Mak1 vs Panda | 2–2 | 50.00% |
| Mak1 vs Shaheen | 2–0 | 100.00% |
| Mak1 vs Leroy | 2–0 | 100.00% |
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.