| Tøxicity vs King | 43–59 | 42.16% |
| Tøxicity vs Eddy | 30–70 | 30.00% |
| Tøxicity vs Reina | 46–39 | 54.12% |
| Tøxicity vs Jin | 32–51 | 38.55% |
| Tøxicity vs Kazuya | 29–31 | 48.33% |
| Tøxicity vs Steve | 26–33–1 | 44.07% |
| Tøxicity vs Hwoarang | 29–30 | 49.15% |
| Tøxicity vs Lars | 22–33 | 40.00% |
| Tøxicity vs Lili | 25–26 | 49.02% |
| Tøxicity vs Dragunov | 22–26 | 45.83% |
| Tøxicity vs Azucena | 17–31 | 35.42% |
| Tøxicity vs Bryan | 26–20 | 56.52% |
| Tøxicity vs Yoshimitsu | 22–21 | 51.16% |
| Tøxicity vs Lee | 17–25 | 40.48% |
| Tøxicity vs Jun | 14–21–1 | 40.00% |
| Tøxicity vs Law | 17–18 | 48.57% |
| Tøxicity vs Victor | 12–23 | 34.29% |
| Tøxicity vs Raven | 16–14 | 53.33% |
| Tøxicity vs Lidia | 19–11 | 63.33% |
| Tøxicity vs Nina | 10–17 | 37.04% |
| Tøxicity vs Asuka | 12–14 | 46.15% |
| Tøxicity vs Paul | 8–15 | 34.78% |
| Tøxicity vs Clive | 6–15 | 28.57% |
| Tøxicity vs Alisa | 7–13 | 35.00% |
| Tøxicity vs Xiaoyu | 11–7 | 61.11% |
| Tøxicity vs Jack-8 | 6–11 | 35.29% |
| Tøxicity vs Fahkumram | 6–11 | 35.29% |
| Tøxicity vs Anna | 7–9 | 43.75% |
| Tøxicity vs Feng | 9–6 | 60.00% |
| Tøxicity vs Leroy | 7–8 | 46.67% |
| Tøxicity vs Devil Jin | 6–7 | 46.15% |
| Tøxicity vs Kuma | 3–10 | 23.08% |
| Tøxicity vs Leo | 5–5 | 50.00% |
| Tøxicity vs Claudio | 5–5 | 50.00% |
| Tøxicity vs Shaheen | 3–7 | 30.00% |
| Tøxicity vs Armor King | 4–3 | 57.14% |
| Tøxicity vs Zafina | 0–6 | 0.00% |
| Tøxicity vs Heihachi | 1–2 | 33.33% |
| Tøxicity vs Panda | 1–0 | 100.00% |
| Tøxicity vs Miary Zo | 0–1 | 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.