Name history
| Pain | |
| Mackie | |
| Grim | |
| Wtfym | |
| degenerate | |
| Ghostly | |
| Lul Matrix | |
| Stand on bihnes | |
| Mackizzle | |
| Dayum |
| Pain vs King | 30–30 | 50.00% |
| Pain vs Hwoarang | 35–19 | 64.81% |
| Pain vs Kazuya | 31–16 | 65.96% |
| Pain vs Bryan | 23–23 | 50.00% |
| Pain vs Jin | 14–31 | 31.11% |
| Pain vs Reina | 14–27 | 34.15% |
| Pain vs Paul | 18–22 | 45.00% |
| Pain vs Steve | 17–21 | 44.74% |
| Pain vs Lars | 18–16 | 52.94% |
| Pain vs Yoshimitsu | 11–20 | 35.48% |
| Pain vs Lili | 17–14 | 54.84% |
| Pain vs Law | 12–18 | 40.00% |
| Pain vs Dragunov | 12–16 | 42.86% |
| Pain vs Jun | 15–13 | 53.57% |
| Pain vs Xiaoyu | 14–12 | 53.85% |
| Pain vs Nina | 8–17 | 32.00% |
| Pain vs Victor | 9–14 | 39.13% |
| Pain vs Leo | 13–9 | 59.09% |
| Pain vs Asuka | 8–13 | 38.10% |
| Pain vs Alisa | 14–7 | 66.67% |
| Pain vs Devil Jin | 12–8 | 60.00% |
| Pain vs Lee | 5–15 | 25.00% |
| Pain vs Leroy | 6–10 | 37.50% |
| Pain vs Eddy | 6–10 | 37.50% |
| Pain vs Claudio | 5–9 | 35.71% |
| Pain vs Raven | 7–7 | 50.00% |
| Pain vs Feng | 7–3 | 70.00% |
| Pain vs Zafina | 1–8 | 11.11% |
| Pain vs Shaheen | 4–2 | 66.67% |
| Pain vs Kuma | 1–5 | 16.67% |
| Pain vs Azucena | 2–4 | 33.33% |
| Pain vs Jack-8 | 1–3 | 25.00% |
| Pain vs Lidia | 1–2 | 33.33% |
| Pain vs Panda | 0–2 | 0.00% |
| Pain vs Heihachi | 0–2 | 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.