| Mabz vs Hwoarang | 34–24 | 58.62% |
| Mabz vs Kazuya | 28–29 | 49.12% |
| Mabz vs King | 38–16 | 70.37% |
| Mabz vs Lili | 19–14 | 57.58% |
| Mabz vs Law | 17–12 | 58.62% |
| Mabz vs Jin | 15–14 | 51.72% |
| Mabz vs Nina | 15–14 | 51.72% |
| Mabz vs Reina | 12–16 | 42.86% |
| Mabz vs Yoshimitsu | 15–11 | 57.69% |
| Mabz vs Jun | 16–10 | 61.54% |
| Mabz vs Steve | 15–10 | 60.00% |
| Mabz vs Bryan | 7–9 | 43.75% |
| Mabz vs Victor | 10–6 | 62.50% |
| Mabz vs Clive | 11–5 | 68.75% |
| Mabz vs Paul | 7–7 | 50.00% |
| Mabz vs Asuka | 5–8 | 38.46% |
| Mabz vs Dragunov | 9–4 | 69.23% |
| Mabz vs Azucena | 10–3 | 76.92% |
| Mabz vs Heihachi | 8–5 | 61.54% |
| Mabz vs Leo | 7–5 | 58.33% |
| Mabz vs Eddy | 10–2 | 83.33% |
| Mabz vs Lars | 4–6 | 40.00% |
| Mabz vs Shaheen | 6–4 | 60.00% |
| Mabz vs Feng | 5–4 | 55.56% |
| Mabz vs Lee | 6–3 | 66.67% |
| Mabz vs Lidia | 4–5 | 44.44% |
| Mabz vs Xiaoyu | 3–5 | 37.50% |
| Mabz vs Jack-8 | 3–4 | 42.86% |
| Mabz vs Devil Jin | 3–4 | 42.86% |
| Mabz vs Kuma | 4–3 | 57.14% |
| Mabz vs Zafina | 3–4 | 42.86% |
| Mabz vs Fahkumram | 1–6 | 14.29% |
| Mabz vs Claudio | 2–4 | 33.33% |
| Mabz vs Alisa | 3–2 | 60.00% |
| Mabz vs Raven | 3–2 | 60.00% |
| Mabz vs Miary Zo | 1–2 | 33.33% |
| Mabz vs Panda | 0–2 | 0.00% |
| Mabz vs Leroy | 2–0 | 100.00% |
| Mabz vs Anna | 0–1 | 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.