| flaviozen vs King | 52–67 | 43.70% |
| flaviozen vs Bryan | 41–58 | 41.41% |
| flaviozen vs Kazuya | 32–64 | 33.33% |
| flaviozen vs Armor King | 33–55 | 37.50% |
| flaviozen vs Jin | 36–49 | 42.35% |
| flaviozen vs Hwoarang | 28–50 | 35.90% |
| flaviozen vs Steve | 33–32 | 50.77% |
| flaviozen vs Law | 23–39 | 37.10% |
| flaviozen vs Lili | 24–35 | 40.68% |
| flaviozen vs Dragunov | 23–33 | 41.07% |
| flaviozen vs Paul | 27–28 | 49.09% |
| flaviozen vs Heihachi | 20–33 | 37.74% |
| flaviozen vs Reina | 22–30 | 42.31% |
| flaviozen vs Asuka | 26–21 | 55.32% |
| flaviozen vs Lidia | 23–17 | 57.50% |
| flaviozen vs Devil Jin | 18–19 | 48.65% |
| flaviozen vs Fahkumram | 16–17 | 48.48% |
| flaviozen vs Azucena | 11–16 | 40.74% |
| flaviozen vs Xiaoyu | 10–15 | 40.00% |
| flaviozen vs Victor | 9–15 | 37.50% |
| flaviozen vs Eddy | 9–15 | 37.50% |
| flaviozen vs Feng | 10–13 | 43.48% |
| flaviozen vs Lars | 5–16 | 23.81% |
| flaviozen vs Raven | 7–12 | 36.84% |
| flaviozen vs Clive | 7–12 | 36.84% |
| flaviozen vs Anna | 10–9 | 52.63% |
| flaviozen vs Yoshimitsu | 8–10 | 44.44% |
| flaviozen vs Alisa | 6–12 | 33.33% |
| flaviozen vs Nina | 8–9 | 47.06% |
| flaviozen vs Lee | 10–6 | 62.50% |
| flaviozen vs Claudio | 8–6 | 57.14% |
| flaviozen vs Zafina | 9–5 | 64.29% |
| flaviozen vs Leroy | 4–10 | 28.57% |
| flaviozen vs Miary Zo | 5–8 | 38.46% |
| flaviozen vs Jun | 1–11 | 8.33% |
| flaviozen vs Leo | 6–5 | 54.55% |
| flaviozen vs Jack-8 | 2–5 | 28.57% |
| flaviozen vs Shaheen | 2–2 | 50.00% |
| flaviozen vs Kuma | 1–1 | 50.00% |
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.