| pay2lose vs Armor King | 46–58 | 44.23% |
| pay2lose vs King | 50–53 | 48.54% |
| pay2lose vs Jin | 35–58 | 37.63% |
| pay2lose vs Eddy | 26–32 | 44.83% |
| pay2lose vs Kazuya | 24–30 | 44.44% |
| pay2lose vs Asuka | 26–27 | 49.06% |
| pay2lose vs Steve | 34–18 | 65.38% |
| pay2lose vs Law | 25–23 | 52.08% |
| pay2lose vs Lili | 17–30 | 36.17% |
| pay2lose vs Hwoarang | 16–27 | 37.21% |
| pay2lose vs Bryan | 15–28 | 34.88% |
| pay2lose vs Reina | 23–18 | 56.10% |
| pay2lose vs Dragunov | 13–23 | 36.11% |
| pay2lose vs Lidia | 9–20 | 31.03% |
| pay2lose vs Heihachi | 15–12 | 55.56% |
| pay2lose vs Victor | 14–10 | 58.33% |
| pay2lose vs Anna | 6–17 | 26.09% |
| pay2lose vs Xiaoyu | 7–15 | 31.82% |
| pay2lose vs Leroy | 10–12 | 45.45% |
| pay2lose vs Yoshimitsu | 8–13 | 38.10% |
| pay2lose vs Alisa | 11–8 | 57.89% |
| pay2lose vs Devil Jin | 8–9 | 47.06% |
| pay2lose vs Fahkumram | 9–8 | 52.94% |
| pay2lose vs Clive | 8–7 | 53.33% |
| pay2lose vs Feng | 5–9 | 35.71% |
| pay2lose vs Azucena | 8–6 | 57.14% |
| pay2lose vs Paul | 5–8 | 38.46% |
| pay2lose vs Lars | 4–8 | 33.33% |
| pay2lose vs Lee | 4–8 | 33.33% |
| pay2lose vs Nina | 7–4 | 63.64% |
| pay2lose vs Leo | 4–6 | 40.00% |
| pay2lose vs Panda | 4–6 | 40.00% |
| pay2lose vs Zafina | 6–4 | 60.00% |
| pay2lose vs Jun | 2–8 | 20.00% |
| pay2lose vs Claudio | 5–4 | 55.56% |
| pay2lose vs Miary Zo | 6–3 | 66.67% |
| pay2lose vs Jack-8 | 2–2 | 50.00% |
| pay2lose vs Kuma | 2–2 | 50.00% |
| pay2lose vs Shaheen | 1–2 | 33.33% |
| pay2lose vs Raven | 0–3 | 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.