| Flexzone vs Jin | 50–101 | 33.11% |
| Flexzone vs King | 57–92 | 38.26% |
| Flexzone vs Armor King | 31–64 | 32.63% |
| Flexzone vs Dragunov | 35–56 | 38.46% |
| Flexzone vs Kazuya | 27–62 | 30.34% |
| Flexzone vs Lili | 28–59 | 32.18% |
| Flexzone vs Hwoarang | 30–49 | 37.97% |
| Flexzone vs Steve | 29–50 | 36.71% |
| Flexzone vs Reina | 40–35 | 53.33% |
| Flexzone vs Law | 28–39 | 41.79% |
| Flexzone vs Eddy | 22–40 | 35.48% |
| Flexzone vs Bryan | 17–31 | 35.42% |
| Flexzone vs Heihachi | 16–32 | 33.33% |
| Flexzone vs Asuka | 21–25 | 45.65% |
| Flexzone vs Azucena | 15–30 | 33.33% |
| Flexzone vs Jun | 13–25 | 34.21% |
| Flexzone vs Lidia | 17–21 | 44.74% |
| Flexzone vs Yoshimitsu | 11–21 | 34.38% |
| Flexzone vs Miary Zo | 7–25 | 21.88% |
| Flexzone vs Lee | 6–24 | 20.00% |
| Flexzone vs Clive | 11–17 | 39.29% |
| Flexzone vs Anna | 14–14 | 50.00% |
| Flexzone vs Fahkumram | 7–20 | 25.93% |
| Flexzone vs Lars | 12–14 | 46.15% |
| Flexzone vs Xiaoyu | 8–13 | 38.10% |
| Flexzone vs Devil Jin | 6–15 | 28.57% |
| Flexzone vs Kuma | 6–13 | 31.58% |
| Flexzone vs Paul | 4–13 | 23.53% |
| Flexzone vs Panda | 7–10 | 41.18% |
| Flexzone vs Jack-8 | 9–6 | 60.00% |
| Flexzone vs Alisa | 0–15 | 0.00% |
| Flexzone vs Feng | 3–8 | 27.27% |
| Flexzone vs Nina | 4–7 | 36.36% |
| Flexzone vs Victor | 6–5 | 54.55% |
| Flexzone vs Raven | 6–5 | 54.55% |
| Flexzone vs Claudio | 3–7 | 30.00% |
| Flexzone vs Leroy | 1–8 | 11.11% |
| Flexzone vs Zafina | 2–6 | 25.00% |
| Flexzone vs Shaheen | 4–1 | 80.00% |
| Flexzone vs Leo | 0–2 | 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.