| Flex Appeal vs Heihachi | 28–17 | 62.22% |
| Flex Appeal vs Armor King | 25–8 | 75.76% |
| Flex Appeal vs Steve | 21–8 | 72.41% |
| Flex Appeal vs Bryan | 15–13 | 53.57% |
| Flex Appeal vs Kazuya | 19–8 | 70.37% |
| Flex Appeal vs Jin | 12–12 | 50.00% |
| Flex Appeal vs Reina | 15–9 | 62.50% |
| Flex Appeal vs Law | 12–11 | 52.17% |
| Flex Appeal vs King | 16–7 | 69.57% |
| Flex Appeal vs Leo | 9–13 | 40.91% |
| Flex Appeal vs Yoshimitsu | 14–5 | 73.68% |
| Flex Appeal vs Paul | 10–8 | 55.56% |
| Flex Appeal vs Azucena | 11–7 | 61.11% |
| Flex Appeal vs Nina | 10–7 | 58.82% |
| Flex Appeal vs Lee | 11–6 | 64.71% |
| Flex Appeal vs Hwoarang | 8–8 | 50.00% |
| Flex Appeal vs Lili | 10–6 | 62.50% |
| Flex Appeal vs Lars | 9–7 | 56.25% |
| Flex Appeal vs Xiaoyu | 7–8 | 46.67% |
| Flex Appeal vs Asuka | 11–4 | 73.33% |
| Flex Appeal vs Dragunov | 11–3 | 78.57% |
| Flex Appeal vs Jun | 6–8 | 42.86% |
| Flex Appeal vs Victor | 6–7 | 46.15% |
| Flex Appeal vs Jack-8 | 10–2 | 83.33% |
| Flex Appeal vs Feng | 10–2 | 83.33% |
| Flex Appeal vs Kuma | 5–6 | 45.45% |
| Flex Appeal vs Alisa | 6–3 | 66.67% |
| Flex Appeal vs Lidia | 8–0 | 100.00% |
| Flex Appeal vs Devil Jin | 3–4 | 42.86% |
| Flex Appeal vs Raven | 5–2 | 71.43% |
| Flex Appeal vs Eddy | 3–4 | 42.86% |
| Flex Appeal vs Clive | 5–2 | 71.43% |
| Flex Appeal vs Zafina | 2–3 | 40.00% |
| Flex Appeal vs Shaheen | 2–2 | 50.00% |
| Flex Appeal vs Leroy | 4–0 | 100.00% |
| Flex Appeal vs Claudio | 2–1 | 66.67% |
| Flex Appeal vs Anna | 2–1 | 66.67% |
| Flex Appeal vs Miary Zo | 2–1 | 66.67% |
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.