| FiveStar vs Law | 4–1 | 80.00% |
| FiveStar vs Steve | 3–2 | 60.00% |
| FiveStar vs Fahkumram | 4–1 | 80.00% |
| FiveStar vs Hwoarang | 1–3 | 25.00% |
| FiveStar vs King | 2–1 | 66.67% |
| FiveStar vs Yoshimitsu | 3–0 | 100.00% |
| FiveStar vs Bryan | 0–2 | 0.00% |
| FiveStar vs Lili | 2–0 | 100.00% |
| FiveStar vs Lars | 1–1 | 50.00% |
| FiveStar vs Claudio | 0–2 | 0.00% |
| FiveStar vs Reina | 2–0 | 100.00% |
| FiveStar vs Azucena | 0–2 | 0.00% |
| FiveStar vs Victor | 2–0 | 100.00% |
| FiveStar vs Lidia | 0–2 | 0.00% |
| FiveStar vs Paul | 0–1 | 0.00% |
| FiveStar vs Xiaoyu | 1–0 | 100.00% |
| FiveStar vs Jin | 1–0 | 100.00% |
| FiveStar vs Nina | 0–1 | 0.00% |
| FiveStar vs Zafina | 1–0 | 100.00% |
| FiveStar vs Clive | 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.