| SchmerZ vs Kazuya | 178–200 | 47.09% |
| SchmerZ vs Jin | 139–165 | 45.72% |
| SchmerZ vs King | 133–143 | 48.19% |
| SchmerZ vs Reina | 126–120 | 51.22% |
| SchmerZ vs Bryan | 94–123 | 43.32% |
| SchmerZ vs Steve | 108–98 | 52.43% |
| SchmerZ vs Law | 85–106 | 44.50% |
| SchmerZ vs Dragunov | 85–103 | 45.21% |
| SchmerZ vs Heihachi | 67–114 | 37.02% |
| SchmerZ vs Hwoarang | 83–89 | 48.26% |
| SchmerZ vs Armor King | 67–103 | 39.41% |
| SchmerZ vs Yoshimitsu | 61–87 | 41.22% |
| SchmerZ vs Jun | 72–69 | 51.06% |
| SchmerZ vs Lili | 52–88 | 37.14% |
| SchmerZ vs Paul | 57–73 | 43.85% |
| SchmerZ vs Clive | 42–81 | 34.15% |
| SchmerZ vs Lee | 53–65 | 44.92% |
| SchmerZ vs Devil Jin | 42–72 | 36.84% |
| SchmerZ vs Asuka | 38–57 | 40.00% |
| SchmerZ vs Azucena | 41–48 | 46.07% |
| SchmerZ vs Xiaoyu | 26–54 | 32.50% |
| SchmerZ vs Feng | 34–43 | 44.16% |
| SchmerZ vs Anna | 28–41 | 40.58% |
| SchmerZ vs Nina | 40–28 | 58.82% |
| SchmerZ vs Victor | 25–43 | 36.76% |
| SchmerZ vs Alisa | 30–32 | 48.39% |
| SchmerZ vs Leo | 27–32 | 45.76% |
| SchmerZ vs Lars | 22–36 | 37.93% |
| SchmerZ vs Lidia | 34–20 | 62.96% |
| SchmerZ vs Jack-8 | 25–28 | 47.17% |
| SchmerZ vs Leroy | 26–26 | 50.00% |
| SchmerZ vs Eddy | 17–32 | 34.69% |
| SchmerZ vs Fahkumram | 18–30 | 37.50% |
| SchmerZ vs Claudio | 15–29 | 34.09% |
| SchmerZ vs Raven | 20–21 | 48.78% |
| SchmerZ vs Miary Zo | 18–21 | 46.15% |
| SchmerZ vs Kuma | 16–15 | 51.61% |
| SchmerZ vs Shaheen | 10–14 | 41.67% |
| SchmerZ vs Zafina | 11–13 | 45.83% |
| SchmerZ vs Panda | 7–8 | 46.67% |
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.