| Belt2Azz vs King | 58–52 | 52.73% |
| Belt2Azz vs Kazuya | 55–35 | 61.11% |
| Belt2Azz vs Steve | 49–38 | 56.32% |
| Belt2Azz vs Reina | 34–40 | 45.95% |
| Belt2Azz vs Bryan | 29–41 | 41.43% |
| Belt2Azz vs Law | 32–34 | 48.48% |
| Belt2Azz vs Jin | 37–22 | 62.71% |
| Belt2Azz vs Dragunov | 28–30 | 48.28% |
| Belt2Azz vs Hwoarang | 36–16 | 69.23% |
| Belt2Azz vs Lili | 24–23 | 51.06% |
| Belt2Azz vs Azucena | 23–24 | 48.94% |
| Belt2Azz vs Heihachi | 21–24 | 46.67% |
| Belt2Azz vs Eddy | 26–18 | 59.09% |
| Belt2Azz vs Clive | 22–19 | 53.66% |
| Belt2Azz vs Paul | 20–20 | 50.00% |
| Belt2Azz vs Nina | 11–28 | 28.21% |
| Belt2Azz vs Jun | 18–18 | 50.00% |
| Belt2Azz vs Leo | 18–17 | 51.43% |
| Belt2Azz vs Yoshimitsu | 10–24 | 29.41% |
| Belt2Azz vs Lee | 19–12 | 61.29% |
| Belt2Azz vs Lars | 19–11 | 63.33% |
| Belt2Azz vs Lidia | 13–16 | 44.83% |
| Belt2Azz vs Fahkumram | 21–8 | 72.41% |
| Belt2Azz vs Victor | 14–14 | 50.00% |
| Belt2Azz vs Raven | 19–9 | 67.86% |
| Belt2Azz vs Feng | 8–19 | 29.63% |
| Belt2Azz vs Asuka | 13–13 | 50.00% |
| Belt2Azz vs Alisa | 17–9 | 65.38% |
| Belt2Azz vs Anna | 15–11 | 57.69% |
| Belt2Azz vs Devil Jin | 6–17 | 26.09% |
| Belt2Azz vs Armor King | 13–10 | 56.52% |
| Belt2Azz vs Shaheen | 12–9 | 57.14% |
| Belt2Azz vs Kuma | 16–4–1 | 80.00% |
| Belt2Azz vs Jack-8 | 10–9 | 52.63% |
| Belt2Azz vs Xiaoyu | 9–8 | 52.94% |
| Belt2Azz vs Leroy | 10–7 | 58.82% |
| Belt2Azz vs Claudio | 9–4 | 69.23% |
| Belt2Azz vs Zafina | 2–4 | 33.33% |
| Belt2Azz vs Panda | 0–4 | 0.00% |
| Belt2Azz vs Miary Zo | 2–2 | 50.00% |
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.