| twinc2nd vs Asuka | 3–9 | 25.00% |
| twinc2nd vs Nina | 2–4 | 33.33% |
| twinc2nd vs Victor | 1–5 | 16.67% |
| twinc2nd vs Kazuya | 2–3 | 40.00% |
| twinc2nd vs Dragunov | 3–2 | 60.00% |
| twinc2nd vs Claudio | 2–3 | 40.00% |
| twinc2nd vs Paul | 0–4 | 0.00% |
| twinc2nd vs Law | 1–3 | 25.00% |
| twinc2nd vs King | 2–2 | 50.00% |
| twinc2nd vs Reina | 2–2 | 50.00% |
| twinc2nd vs Azucena | 3–1 | 75.00% |
| twinc2nd vs Steve | 1–2 | 33.33% |
| twinc2nd vs Leroy | 1–2 | 33.33% |
| twinc2nd vs Eddy | 0–3 | 0.00% |
| twinc2nd vs Hwoarang | 0–2 | 0.00% |
| twinc2nd vs Alisa | 0–2 | 0.00% |
| twinc2nd vs Jun | 0–2 | 0.00% |
| twinc2nd vs Feng | 0–1 | 0.00% |
| twinc2nd vs Lili | 0–1 | 0.00% |
| twinc2nd vs Lars | 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.