| PAINLUN vs Bryan | 36–24 | 60.00% |
| PAINLUN vs Kazuya | 25–17 | 59.52% |
| PAINLUN vs Armor King | 20–14 | 58.82% |
| PAINLUN vs Dragunov | 18–10 | 64.29% |
| PAINLUN vs Lars | 12–12 | 50.00% |
| PAINLUN vs Feng | 5–17 | 22.73% |
| PAINLUN vs King | 7–13 | 35.00% |
| PAINLUN vs Jin | 19–1 | 95.00% |
| PAINLUN vs Reina | 16–4 | 80.00% |
| PAINLUN vs Nina | 11–6 | 64.71% |
| PAINLUN vs Victor | 10–7 | 58.82% |
| PAINLUN vs Law | 4–12 | 25.00% |
| PAINLUN vs Yoshimitsu | 7–7 | 50.00% |
| PAINLUN vs Lili | 5–8 | 38.46% |
| PAINLUN vs Devil Jin | 9–3 | 75.00% |
| PAINLUN vs Clive | 6–6 | 50.00% |
| PAINLUN vs Hwoarang | 7–4 | 63.64% |
| PAINLUN vs Asuka | 8–2 | 80.00% |
| PAINLUN vs Azucena | 6–4 | 60.00% |
| PAINLUN vs Eddy | 6–2 | 75.00% |
| PAINLUN vs Leroy | 6–1 | 85.71% |
| PAINLUN vs Heihachi | 4–3 | 57.14% |
| PAINLUN vs Anna | 5–2 | 71.43% |
| PAINLUN vs Claudio | 1–4 | 20.00% |
| PAINLUN vs Steve | 2–2 | 50.00% |
| PAINLUN vs Jun | 1–3 | 25.00% |
| PAINLUN vs Fahkumram | 4–0 | 100.00% |
| PAINLUN vs Xiaoyu | 2–1 | 66.67% |
| PAINLUN vs Jack-8 | 0–2 | 0.00% |
| PAINLUN vs Zafina | 2–0 | 100.00% |
| PAINLUN vs Lidia | 0–2 | 0.00% |
| PAINLUN vs Miary Zo | 0–2 | 0.00% |
| PAINLUN vs Paul | 1–0 | 100.00% |
| PAINLUN vs Alisa | 1–0 | 100.00% |
| PAINLUN vs Shaheen | 1–0 | 100.00% |
| PAINLUN vs Kuma | 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.