| Painkillr vs Jin | 240–229 | 51.17% |
| Painkillr vs Kazuya | 224–211 | 51.49% |
| Painkillr vs Bryan | 195–158 | 55.24% |
| Painkillr vs King | 165–161 | 50.61% |
| Painkillr vs Heihachi | 116–136 | 46.03% |
| Painkillr vs Dragunov | 117–119 | 49.58% |
| Painkillr vs Steve | 113–102 | 52.56% |
| Painkillr vs Hwoarang | 78–125 | 38.42% |
| Painkillr vs Reina | 101–93 | 52.06% |
| Painkillr vs Law | 73–86 | 45.91% |
| Painkillr vs Yoshimitsu | 71–88 | 44.65% |
| Painkillr vs Devil Jin | 63–88 | 41.72% |
| Painkillr vs Paul | 66–75 | 46.81% |
| Painkillr vs Lili | 79–58 | 57.66% |
| Painkillr vs Feng | 69–67 | 50.74% |
| Painkillr vs Lee | 69–65 | 51.49% |
| Painkillr vs Asuka | 62–40 | 60.78% |
| Painkillr vs Victor | 44–50 | 46.81% |
| Painkillr vs Nina | 49–43 | 53.26% |
| Painkillr vs Eddy | 45–43 | 51.14% |
| Painkillr vs Xiaoyu | 41–36 | 53.25% |
| Painkillr vs Alisa | 39–37 | 51.32% |
| Painkillr vs Azucena | 30–46 | 39.47% |
| Painkillr vs Lars | 25–47 | 34.72% |
| Painkillr vs Leo | 33–37 | 47.14% |
| Painkillr vs Jun | 40–29 | 57.97% |
| Painkillr vs Clive | 25–37 | 40.32% |
| Painkillr vs Claudio | 21–39–1 | 35.00% |
| Painkillr vs Jack-8 | 21–33 | 38.89% |
| Painkillr vs Anna | 30–24 | 55.56% |
| Painkillr vs Lidia | 20–24 | 45.45% |
| Painkillr vs Shaheen | 19–23 | 45.24% |
| Painkillr vs Leroy | 25–15 | 62.50% |
| Painkillr vs Zafina | 17–17 | 50.00% |
| Painkillr vs Fahkumram | 9–16 | 36.00% |
| Painkillr vs Kuma | 15–9 | 62.50% |
| Painkillr vs Armor King | 11–11 | 50.00% |
| Painkillr vs Raven | 7–9 | 43.75% |
| Painkillr vs Miary Zo | 2–8 | 20.00% |
| Painkillr vs Panda | 4–4 | 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.