| Pain vs Jin | 29–8 | 78.38% |
| Pain vs King | 23–9 | 71.88% |
| Pain vs Reina | 20–10 | 66.67% |
| Pain vs Heihachi | 21–9 | 70.00% |
| Pain vs Asuka | 25–4 | 86.21% |
| Pain vs Kazuya | 20–6 | 76.92% |
| Pain vs Clive | 24–1 | 96.00% |
| Pain vs Hwoarang | 17–6 | 73.91% |
| Pain vs Bryan | 15–8 | 65.22% |
| Pain vs Paul | 17–5 | 77.27% |
| Pain vs Steve | 17–5 | 77.27% |
| Pain vs Lars | 19–3 | 86.36% |
| Pain vs Law | 13–5 | 72.22% |
| Pain vs Nina | 16–2 | 88.89% |
| Pain vs Jun | 17–0 | 100.00% |
| Pain vs Feng | 10–6 | 62.50% |
| Pain vs Leroy | 13–3 | 81.25% |
| Pain vs Leo | 8–7 | 53.33% |
| Pain vs Victor | 13–2 | 86.67% |
| Pain vs Lili | 9–5 | 64.29% |
| Pain vs Dragunov | 12–2 | 85.71% |
| Pain vs Anna | 8–4 | 66.67% |
| Pain vs Miary Zo | 9–3 | 75.00% |
| Pain vs Devil Jin | 8–3 | 72.73% |
| Pain vs Alisa | 8–3 | 72.73% |
| Pain vs Jack-8 | 6–4 | 60.00% |
| Pain vs Azucena | 8–2 | 80.00% |
| Pain vs Eddy | 8–1 | 88.89% |
| Pain vs Lidia | 7–2 | 77.78% |
| Pain vs Lee | 3–5 | 37.50% |
| Pain vs Armor King | 2–4 | 33.33% |
| Pain vs Yoshimitsu | 2–3 | 40.00% |
| Pain vs Xiaoyu | 5–0 | 100.00% |
| Pain vs Zafina | 1–3 | 25.00% |
| Pain vs Raven | 3–0 | 100.00% |
| Pain vs Fahkumram | 3–0 | 100.00% |
| Pain vs Claudio | 2–0 | 100.00% |
| Pain vs Shaheen | 1–0 | 100.00% |
| Pain vs Kuma | 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.