| Mbaku vs Jin | 46–26 | 63.89% |
| Mbaku vs Kazuya | 42–17 | 71.19% |
| Mbaku vs Reina | 39–11 | 78.00% |
| Mbaku vs Clive | 22–14 | 61.11% |
| Mbaku vs Jun | 20–14 | 58.82% |
| Mbaku vs Dragunov | 16–17 | 48.48% |
| Mbaku vs Steve | 25–7 | 78.12% |
| Mbaku vs King | 18–12 | 60.00% |
| Mbaku vs Bryan | 16–12 | 57.14% |
| Mbaku vs Asuka | 14–10 | 58.33% |
| Mbaku vs Devil Jin | 16–8 | 66.67% |
| Mbaku vs Heihachi | 9–11 | 45.00% |
| Mbaku vs Lars | 14–5 | 73.68% |
| Mbaku vs Yoshimitsu | 11–7 | 61.11% |
| Mbaku vs Hwoarang | 12–4 | 75.00% |
| Mbaku vs Nina | 10–5 | 66.67% |
| Mbaku vs Victor | 9–6 | 60.00% |
| Mbaku vs Armor King | 11–3 | 78.57% |
| Mbaku vs Paul | 4–7 | 36.36% |
| Mbaku vs Feng | 9–1 | 90.00% |
| Mbaku vs Law | 4–5 | 44.44% |
| Mbaku vs Lili | 4–5 | 44.44% |
| Mbaku vs Jack-8 | 5–3 | 62.50% |
| Mbaku vs Alisa | 3–5 | 37.50% |
| Mbaku vs Eddy | 3–5 | 37.50% |
| Mbaku vs Xiaoyu | 4–2 | 66.67% |
| Mbaku vs Leo | 4–2 | 66.67% |
| Mbaku vs Azucena | 2–3 | 40.00% |
| Mbaku vs Raven | 3–2 | 60.00% |
| Mbaku vs Lee | 2–2 | 50.00% |
| Mbaku vs Claudio | 2–1 | 66.67% |
| Mbaku vs Kuma | 2–1 | 66.67% |
| Mbaku vs Shaheen | 2–0 | 100.00% |
| Mbaku vs Panda | 1–1 | 50.00% |
| Mbaku vs Zafina | 0–2 | 0.00% |
| Mbaku vs Lidia | 2–0 | 100.00% |
| Mbaku vs Fahkumram | 1–1 | 50.00% |
| Mbaku vs Leroy | 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.