| TwinSun vs Anna | 4–2 | 66.67% |
| TwinSun vs Reina | 4–1 | 80.00% |
| TwinSun vs Kazuya | 3–1 | 75.00% |
| TwinSun vs Lars | 0–4 | 0.00% |
| TwinSun vs Clive | 3–1 | 75.00% |
| TwinSun vs Hwoarang | 1–2 | 33.33% |
| TwinSun vs Fahkumram | 1–2 | 33.33% |
| TwinSun vs Law | 0–2 | 0.00% |
| TwinSun vs King | 0–2 | 0.00% |
| TwinSun vs Jin | 2–0 | 100.00% |
| TwinSun vs Steve | 0–2 | 0.00% |
| TwinSun vs Lili | 2–0 | 100.00% |
| TwinSun vs Alisa | 1–1 | 50.00% |
| TwinSun vs Claudio | 0–2 | 0.00% |
| TwinSun vs Nina | 1–1 | 50.00% |
| TwinSun vs Lee | 2–0 | 100.00% |
| TwinSun vs Panda | 2–0 | 100.00% |
| TwinSun vs Azucena | 2–0 | 100.00% |
| TwinSun vs Raven | 0–2 | 0.00% |
| TwinSun vs Eddy | 2–0 | 100.00% |
| TwinSun vs Yoshimitsu | 1–0 | 100.00% |
| TwinSun vs Devil Jin | 0–1 | 0.00% |
| TwinSun vs Leo | 1–0 | 100.00% |
| TwinSun vs Kuma | 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.