| MAKO vs Kazuya | 31–28 | 52.54% |
| MAKO vs Jin | 30–14 | 68.18% |
| MAKO vs Reina | 21–18 | 53.85% |
| MAKO vs Steve | 23–15 | 60.53% |
| MAKO vs Hwoarang | 18–19 | 48.65% |
| MAKO vs King | 18–15 | 54.55% |
| MAKO vs Bryan | 10–22 | 31.25% |
| MAKO vs Dragunov | 15–17 | 46.88% |
| MAKO vs Heihachi | 13–13 | 50.00% |
| MAKO vs Asuka | 14–10 | 58.33% |
| MAKO vs Paul | 17–6 | 73.91% |
| MAKO vs Lili | 11–8 | 57.89% |
| MAKO vs Jun | 15–2 | 88.24% |
| MAKO vs Law | 10–5 | 66.67% |
| MAKO vs Azucena | 12–2 | 85.71% |
| MAKO vs Victor | 8–6 | 57.14% |
| MAKO vs Fahkumram | 5–9 | 35.71% |
| MAKO vs Devil Jin | 9–4 | 69.23% |
| MAKO vs Alisa | 6–7 | 46.15% |
| MAKO vs Feng | 5–7 | 41.67% |
| MAKO vs Lee | 7–4 | 63.64% |
| MAKO vs Zafina | 5–6 | 45.45% |
| MAKO vs Yoshimitsu | 6–4 | 60.00% |
| MAKO vs Lars | 5–4 | 55.56% |
| MAKO vs Lidia | 6–3 | 66.67% |
| MAKO vs Armor King | 2–7 | 22.22% |
| MAKO vs Shaheen | 6–2 | 75.00% |
| MAKO vs Nina | 2–6 | 25.00% |
| MAKO vs Eddy | 4–4 | 50.00% |
| MAKO vs Clive | 4–4 | 50.00% |
| MAKO vs Leroy | 4–3 | 57.14% |
| MAKO vs Miary Zo | 4–3 | 57.14% |
| MAKO vs Raven | 0–6 | 0.00% |
| MAKO vs Xiaoyu | 4–1 | 80.00% |
| MAKO vs Jack-8 | 4–1 | 80.00% |
| MAKO vs Claudio | 4–1 | 80.00% |
| MAKO vs Anna | 2–2 | 50.00% |
| MAKO vs Leo | 0–2 | 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.