| Makochan vs King | 21–34 | 38.18% |
| Makochan vs Eddy | 27–27 | 50.00% |
| Makochan vs Reina | 28–20 | 58.33% |
| Makochan vs Jin | 19–23 | 45.24% |
| Makochan vs Kazuya | 20–19 | 51.28% |
| Makochan vs Steve | 13–19 | 40.62% |
| Makochan vs Nina | 14–16 | 46.67% |
| Makochan vs Azucena | 18–10 | 64.29% |
| Makochan vs Law | 12–14 | 46.15% |
| Makochan vs Bryan | 17–9 | 65.38% |
| Makochan vs Alisa | 14–12 | 53.85% |
| Makochan vs Hwoarang | 10–15 | 40.00% |
| Makochan vs Lili | 11–10 | 52.38% |
| Makochan vs Heihachi | 10–10 | 50.00% |
| Makochan vs Dragunov | 9–10 | 47.37% |
| Makochan vs Lidia | 11–8 | 57.89% |
| Makochan vs Paul | 11–7 | 61.11% |
| Makochan vs Asuka | 11–6 | 64.71% |
| Makochan vs Armor King | 6–9 | 40.00% |
| Makochan vs Feng | 9–3 | 75.00% |
| Makochan vs Anna | 5–7 | 41.67% |
| Makochan vs Devil Jin | 6–5 | 54.55% |
| Makochan vs Yoshimitsu | 6–4 | 60.00% |
| Makochan vs Lars | 5–5 | 50.00% |
| Makochan vs Jack-8 | 6–3 | 66.67% |
| Makochan vs Leroy | 2–6 | 25.00% |
| Makochan vs Fahkumram | 2–5 | 28.57% |
| Makochan vs Xiaoyu | 4–2 | 66.67% |
| Makochan vs Leo | 2–4 | 33.33% |
| Makochan vs Jun | 3–3 | 50.00% |
| Makochan vs Lee | 2–3 | 40.00% |
| Makochan vs Victor | 4–1 | 80.00% |
| Makochan vs Claudio | 1–3 | 25.00% |
| Makochan vs Miary Zo | 3–1 | 75.00% |
| Makochan vs Panda | 2–1 | 66.67% |
| Makochan vs Shaheen | 0–2 | 0.00% |
| Makochan vs Zafina | 0–2 | 0.00% |
| Makochan vs Clive | 2–0 | 100.00% |
| Makochan vs Raven | 1–0 | 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.