| Makeke vs Reina | 24–11 | 68.57% |
| Makeke vs Jin | 22–12 | 64.71% |
| Makeke vs Devil Jin | 19–13 | 59.38% |
| Makeke vs Steve | 12–14 | 46.15% |
| Makeke vs Lars | 12–14 | 46.15% |
| Makeke vs Lee | 20–5 | 80.00% |
| Makeke vs Kazuya | 13–11 | 54.17% |
| Makeke vs Yoshimitsu | 11–12 | 47.83% |
| Makeke vs Armor King | 18–3 | 85.71% |
| Makeke vs Paul | 12–8 | 60.00% |
| Makeke vs Hwoarang | 11–9 | 55.00% |
| Makeke vs Bryan | 18–1 | 94.74% |
| Makeke vs King | 14–4 | 77.78% |
| Makeke vs Law | 10–6 | 62.50% |
| Makeke vs Asuka | 11–5 | 68.75% |
| Makeke vs Lili | 6–9 | 40.00% |
| Makeke vs Leo | 7–7 | 50.00% |
| Makeke vs Alisa | 4–6 | 40.00% |
| Makeke vs Leroy | 7–3 | 70.00% |
| Makeke vs Anna | 2–8 | 20.00% |
| Makeke vs Jack-8 | 2–7 | 22.22% |
| Makeke vs Heihachi | 7–2 | 77.78% |
| Makeke vs Dragunov | 2–4 | 33.33% |
| Makeke vs Jun | 2–3 | 40.00% |
| Makeke vs Lidia | 2–3 | 40.00% |
| Makeke vs Xiaoyu | 2–2 | 50.00% |
| Makeke vs Shaheen | 4–0 | 100.00% |
| Makeke vs Raven | 3–1 | 75.00% |
| Makeke vs Clive | 4–0 | 100.00% |
| Makeke vs Kuma | 2–1 | 66.67% |
| Makeke vs Victor | 0–3 | 0.00% |
| Makeke vs Claudio | 0–2 | 0.00% |
| Makeke vs Nina | 1–1 | 50.00% |
| Makeke vs Panda | 2–0 | 100.00% |
| Makeke vs Zafina | 0–2 | 0.00% |
| Makeke vs Eddy | 1–1 | 50.00% |
| Makeke vs Feng | 1–0 | 100.00% |
| Makeke vs Azucena | 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.