| Thymian vs King | 26–31 | 45.61% |
| Thymian vs Law | 26–29 | 47.27% |
| Thymian vs Hwoarang | 25–30 | 45.45% |
| Thymian vs Reina | 21–31 | 40.38% |
| Thymian vs Kazuya | 23–24 | 48.94% |
| Thymian vs Steve | 16–26 | 38.10% |
| Thymian vs Jin | 15–22 | 40.54% |
| Thymian vs Bryan | 13–22 | 37.14% |
| Thymian vs Heihachi | 8–27 | 22.86% |
| Thymian vs Nina | 10–20 | 33.33% |
| Thymian vs Clive | 7–19 | 26.92% |
| Thymian vs Lee | 12–13 | 48.00% |
| Thymian vs Eddy | 6–17 | 26.09% |
| Thymian vs Lili | 8–13 | 38.10% |
| Thymian vs Dragunov | 12–9 | 57.14% |
| Thymian vs Devil Jin | 6–14 | 30.00% |
| Thymian vs Victor | 8–11 | 42.11% |
| Thymian vs Xiaoyu | 12–5 | 70.59% |
| Thymian vs Asuka | 3–14 | 17.65% |
| Thymian vs Feng | 4–12 | 25.00% |
| Thymian vs Paul | 8–7 | 53.33% |
| Thymian vs Yoshimitsu | 8–7 | 53.33% |
| Thymian vs Jun | 6–9 | 40.00% |
| Thymian vs Azucena | 7–8 | 46.67% |
| Thymian vs Alisa | 4–10 | 28.57% |
| Thymian vs Claudio | 5–6 | 45.45% |
| Thymian vs Lidia | 3–8 | 27.27% |
| Thymian vs Lars | 3–5 | 37.50% |
| Thymian vs Panda | 3–3 | 50.00% |
| Thymian vs Leroy | 2–4 | 33.33% |
| Thymian vs Shaheen | 1–4 | 20.00% |
| Thymian vs Kuma | 1–4 | 20.00% |
| Thymian vs Zafina | 2–3 | 40.00% |
| Thymian vs Raven | 2–3 | 40.00% |
| Thymian vs Leo | 2–2 | 50.00% |
| Thymian vs Jack-8 | 0–2 | 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.