| Flosa vs Reina | 27–42 | 39.13% |
| Flosa vs King | 10–43 | 18.87% |
| Flosa vs Dragunov | 7–42 | 14.29% |
| Flosa vs Fahkumram | 18–30 | 37.50% |
| Flosa vs Hwoarang | 14–33 | 29.79% |
| Flosa vs Jin | 12–34 | 26.09% |
| Flosa vs Lili | 9–29 | 23.68% |
| Flosa vs Law | 11–26 | 29.73% |
| Flosa vs Bryan | 9–23 | 28.12% |
| Flosa vs Heihachi | 7–25 | 21.88% |
| Flosa vs Kazuya | 9–22 | 29.03% |
| Flosa vs Victor | 9–22 | 29.03% |
| Flosa vs Steve | 4–25 | 13.79% |
| Flosa vs Nina | 5–21 | 19.23% |
| Flosa vs Alisa | 7–18 | 28.00% |
| Flosa vs Jun | 5–19 | 20.83% |
| Flosa vs Eddy | 3–21 | 12.50% |
| Flosa vs Lars | 2–21 | 8.70% |
| Flosa vs Raven | 10–12 | 45.45% |
| Flosa vs Xiaoyu | 4–17 | 19.05% |
| Flosa vs Asuka | 1–19 | 5.00% |
| Flosa vs Paul | 6–13 | 31.58% |
| Flosa vs Lee | 7–11 | 38.89% |
| Flosa vs Leroy | 7–11 | 38.89% |
| Flosa vs Azucena | 9–9 | 50.00% |
| Flosa vs Lidia | 10–8 | 55.56% |
| Flosa vs Clive | 7–11 | 38.89% |
| Flosa vs Yoshimitsu | 6–10 | 37.50% |
| Flosa vs Shaheen | 9–6 | 60.00% |
| Flosa vs Feng | 4–10 | 28.57% |
| Flosa vs Kuma | 3–9 | 25.00% |
| Flosa vs Zafina | 1–11 | 8.33% |
| Flosa vs Devil Jin | 4–7 | 36.36% |
| Flosa vs Jack-8 | 1–8 | 11.11% |
| Flosa vs Leo | 1–7 | 12.50% |
| Flosa vs Claudio | 1–7 | 12.50% |
| Flosa vs Anna | 0–7 | 0.00% |
| Flosa vs Panda | 1–3 | 25.00% |
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.