| FluFFy ToasterZ vs Reina | 4–1–1 | 80.00% |
| FluFFy ToasterZ vs Steve | 1–4 | 20.00% |
| FluFFy ToasterZ vs Law | 4–1 | 80.00% |
| FluFFy ToasterZ vs Hwoarang | 4–1 | 80.00% |
| FluFFy ToasterZ vs Jun | 2–2 | 50.00% |
| FluFFy ToasterZ vs Jin | 1–2 | 33.33% |
| FluFFy ToasterZ vs Dragunov | 2–1 | 66.67% |
| FluFFy ToasterZ vs Bryan | 2–1 | 66.67% |
| FluFFy ToasterZ vs Paul | 0–2 | 0.00% |
| FluFFy ToasterZ vs Feng | 0–2 | 0.00% |
| FluFFy ToasterZ vs Shaheen | 0–2 | 0.00% |
| FluFFy ToasterZ vs Xiaoyu | 0–1 | 0.00% |
| FluFFy ToasterZ vs Jack-8 | 0–1 | 0.00% |
| FluFFy ToasterZ vs Lili | 0–1 | 0.00% |
| FluFFy ToasterZ vs Alisa | 0–1 | 0.00% |
| FluFFy ToasterZ vs Victor | 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.