| payan vs Jin | 26–55 | 32.10% |
| payan vs Law | 19–24 | 44.19% |
| payan vs Bryan | 12–24 | 33.33% |
| payan vs Hwoarang | 8–26 | 23.53% |
| payan vs Reina | 13–21 | 38.24% |
| payan vs Steve | 20–11 | 64.52% |
| payan vs King | 9–21 | 30.00% |
| payan vs Fahkumram | 13–17 | 43.33% |
| payan vs Dragunov | 8–20 | 28.57% |
| payan vs Armor King | 18–10 | 64.29% |
| payan vs Paul | 12–14 | 46.15% |
| payan vs Kazuya | 6–18 | 25.00% |
| payan vs Lili | 10–13 | 43.48% |
| payan vs Yoshimitsu | 9–13 | 40.91% |
| payan vs Lidia | 8–11 | 42.11% |
| payan vs Azucena | 9–9 | 50.00% |
| payan vs Devil Jin | 9–8 | 52.94% |
| payan vs Xiaoyu | 10–6 | 62.50% |
| payan vs Nina | 6–10 | 37.50% |
| payan vs Jun | 8–8 | 50.00% |
| payan vs Lars | 6–9 | 40.00% |
| payan vs Eddy | 8–7 | 53.33% |
| payan vs Heihachi | 8–7 | 53.33% |
| payan vs Miary Zo | 10–3 | 76.92% |
| payan vs Clive | 4–7 | 36.36% |
| payan vs Lee | 4–6 | 40.00% |
| payan vs Victor | 1–9 | 10.00% |
| payan vs Alisa | 1–7 | 12.50% |
| payan vs Raven | 3–5 | 37.50% |
| payan vs Feng | 2–5 | 28.57% |
| payan vs Anna | 2–4 | 33.33% |
| payan vs Panda | 2–3 | 40.00% |
| payan vs Asuka | 2–2 | 50.00% |
| payan vs Jack-8 | 1–2 | 33.33% |
| payan vs Claudio | 1–2 | 33.33% |
| payan vs Zafina | 1–2 | 33.33% |
| payan vs Leroy | 0–3 | 0.00% |
| payan vs Leo | 2–0 | 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.