| FlexOn4Nem vs Azucena | 4–5 | 44.44% |
| FlexOn4Nem vs Jin | 1–6 | 14.29% |
| FlexOn4Nem vs Law | 3–2 | 60.00% |
| FlexOn4Nem vs Clive | 2–3 | 40.00% |
| FlexOn4Nem vs Asuka | 3–1 | 75.00% |
| FlexOn4Nem vs Lili | 0–4 | 0.00% |
| FlexOn4Nem vs Steve | 1–2 | 33.33% |
| FlexOn4Nem vs Lee | 0–3 | 0.00% |
| FlexOn4Nem vs Victor | 2–1 | 66.67% |
| FlexOn4Nem vs Lidia | 2–1 | 66.67% |
| FlexOn4Nem vs King | 0–2 | 0.00% |
| FlexOn4Nem vs Yoshimitsu | 0–2 | 0.00% |
| FlexOn4Nem vs Hwoarang | 0–2 | 0.00% |
| FlexOn4Nem vs Feng | 2–0 | 100.00% |
| FlexOn4Nem vs Lars | 0–2 | 0.00% |
| FlexOn4Nem vs Panda | 1–1 | 50.00% |
| FlexOn4Nem vs Leroy | 0–1 | 0.00% |
| FlexOn4Nem vs Jun | 0–1 | 0.00% |
| FlexOn4Nem vs Anna | 0–1 | 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.