| TheusXL vs Reina | 27–22 | 55.10% |
| TheusXL vs Steve | 19–12 | 61.29% |
| TheusXL vs Lili | 14–14 | 50.00% |
| TheusXL vs Jin | 12–14 | 46.15% |
| TheusXL vs Kazuya | 14–12 | 53.85% |
| TheusXL vs King | 9–16 | 36.00% |
| TheusXL vs Hwoarang | 17–8 | 68.00% |
| TheusXL vs Paul | 10–13 | 43.48% |
| TheusXL vs Leo | 3–15 | 16.67% |
| TheusXL vs Dragunov | 11–6 | 64.71% |
| TheusXL vs Eddy | 12–4 | 75.00% |
| TheusXL vs Bryan | 7–8 | 46.67% |
| TheusXL vs Feng | 7–7 | 50.00% |
| TheusXL vs Law | 5–8 | 38.46% |
| TheusXL vs Asuka | 6–7 | 46.15% |
| TheusXL vs Devil Jin | 9–4 | 69.23% |
| TheusXL vs Heihachi | 6–7 | 46.15% |
| TheusXL vs Victor | 7–5 | 58.33% |
| TheusXL vs Azucena | 5–6 | 45.45% |
| TheusXL vs Yoshimitsu | 3–6 | 33.33% |
| TheusXL vs Lars | 4–5 | 44.44% |
| TheusXL vs Leroy | 5–2 | 71.43% |
| TheusXL vs Jun | 3–4 | 42.86% |
| TheusXL vs Clive | 6–1 | 85.71% |
| TheusXL vs Jack-8 | 4–2 | 66.67% |
| TheusXL vs Raven | 0–6 | 0.00% |
| TheusXL vs Fahkumram | 4–2 | 66.67% |
| TheusXL vs Armor King | 4–2 | 66.67% |
| TheusXL vs Miary Zo | 4–2 | 66.67% |
| TheusXL vs Xiaoyu | 4–1 | 80.00% |
| TheusXL vs Alisa | 2–3 | 40.00% |
| TheusXL vs Claudio | 1–4 | 20.00% |
| TheusXL vs Lee | 3–2 | 60.00% |
| TheusXL vs Nina | 1–3 | 25.00% |
| TheusXL vs Panda | 2–0 | 100.00% |
| TheusXL vs Shaheen | 0–1 | 0.00% |
| TheusXL 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.