| Toxicology vs Hwoarang | 9–2 | 81.82% |
| Toxicology vs Reina | 7–2 | 77.78% |
| Toxicology vs Victor | 8–0 | 100.00% |
| Toxicology vs Jin | 5–2 | 71.43% |
| Toxicology vs Azucena | 4–3 | 57.14% |
| Toxicology vs Law | 4–0 | 100.00% |
| Toxicology vs Steve | 3–1 | 75.00% |
| Toxicology vs Leo | 2–2 | 50.00% |
| Toxicology vs Leroy | 3–0 | 100.00% |
| Toxicology vs Jun | 3–0 | 100.00% |
| Toxicology vs Paul | 0–2 | 0.00% |
| Toxicology vs Lars | 2–0 | 100.00% |
| Toxicology vs Panda | 2–0 | 100.00% |
| Toxicology vs Raven | 0–2 | 0.00% |
| Toxicology vs Eddy | 2–0 | 100.00% |
| Toxicology vs Lili | 1–0 | 100.00% |
| Toxicology vs Dragunov | 1–0 | 100.00% |
| Toxicology vs Alisa | 1–0 | 100.00% |
| Toxicology vs Shaheen | 1–0 | 100.00% |
| Toxicology vs Lee | 0–1 | 0.00% |
| Toxicology vs Lidia | 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.