| Flawliss vs Reina | 29–10 | 74.36% |
| Flawliss vs King | 25–10 | 71.43% |
| Flawliss vs Kazuya | 16–7 | 69.57% |
| Flawliss vs Lidia | 12–5 | 70.59% |
| Flawliss vs Steve | 12–4 | 75.00% |
| Flawliss vs Dragunov | 10–6 | 62.50% |
| Flawliss vs Law | 13–2 | 86.67% |
| Flawliss vs Hwoarang | 11–2 | 84.62% |
| Flawliss vs Jin | 9–4 | 69.23% |
| Flawliss vs Eddy | 9–4 | 69.23% |
| Flawliss vs Paul | 9–3 | 75.00% |
| Flawliss vs Asuka | 9–3 | 75.00% |
| Flawliss vs Bryan | 6–5 | 54.55% |
| Flawliss vs Azucena | 10–1 | 90.91% |
| Flawliss vs Lili | 8–2 | 80.00% |
| Flawliss vs Jun | 8–2 | 80.00% |
| Flawliss vs Yoshimitsu | 7–1 | 87.50% |
| Flawliss vs Shaheen | 6–2 | 75.00% |
| Flawliss vs Xiaoyu | 2–5 | 28.57% |
| Flawliss vs Jack-8 | 2–5 | 28.57% |
| Flawliss vs Lars | 7–0 | 100.00% |
| Flawliss vs Zafina | 5–2 | 71.43% |
| Flawliss vs Devil Jin | 6–0 | 100.00% |
| Flawliss vs Alisa | 2–4 | 33.33% |
| Flawliss vs Lee | 5–0 | 100.00% |
| Flawliss vs Heihachi | 4–1 | 80.00% |
| Flawliss vs Leroy | 3–1 | 75.00% |
| Flawliss vs Victor | 4–0 | 100.00% |
| Flawliss vs Clive | 4–0 | 100.00% |
| Flawliss vs Leo | 3–0 | 100.00% |
| Flawliss vs Kuma | 3–0 | 100.00% |
| Flawliss vs Feng | 0–2 | 0.00% |
| Flawliss vs Claudio | 1–1 | 50.00% |
| Flawliss vs Nina | 2–0 | 100.00% |
| Flawliss vs Raven | 2–0 | 100.00% |
| Flawliss vs Panda | 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.