| Flavo vs King | 21–39 | 35.00% |
| Flavo vs Steve | 27–20 | 57.45% |
| Flavo vs Law | 12–26 | 31.58% |
| Flavo vs Hwoarang | 14–22 | 38.89% |
| Flavo vs Eddy | 5–29 | 14.71% |
| Flavo vs Jin | 12–21 | 36.36% |
| Flavo vs Lili | 6–25 | 19.35% |
| Flavo vs Kazuya | 11–19 | 36.67% |
| Flavo vs Reina | 13–16 | 44.83% |
| Flavo vs Victor | 13–14 | 48.15% |
| Flavo vs Asuka | 12–13 | 48.00% |
| Flavo vs Bryan | 7–13 | 35.00% |
| Flavo vs Leo | 4–16 | 20.00% |
| Flavo vs Azucena | 5–13 | 27.78% |
| Flavo vs Dragunov | 9–7 | 56.25% |
| Flavo vs Clive | 4–12 | 25.00% |
| Flavo vs Lee | 5–10 | 33.33% |
| Flavo vs Lidia | 11–4 | 73.33% |
| Flavo vs Xiaoyu | 3–11 | 21.43% |
| Flavo vs Alisa | 5–8 | 38.46% |
| Flavo vs Claudio | 4–9 | 30.77% |
| Flavo vs Leroy | 6–6 | 50.00% |
| Flavo vs Yoshimitsu | 4–7 | 36.36% |
| Flavo vs Feng | 4–7 | 36.36% |
| Flavo vs Lars | 2–9 | 18.18% |
| Flavo vs Jun | 3–8 | 27.27% |
| Flavo vs Raven | 6–5 | 54.55% |
| Flavo vs Miary Zo | 3–8 | 27.27% |
| Flavo vs Paul | 4–6 | 40.00% |
| Flavo vs Devil Jin | 2–8 | 20.00% |
| Flavo vs Nina | 2–8 | 20.00% |
| Flavo vs Anna | 6–4 | 60.00% |
| Flavo vs Fahkumram | 3–7 | 30.00% |
| Flavo vs Heihachi | 0–8 | 0.00% |
| Flavo vs Kuma | 2–5 | 28.57% |
| Flavo vs Jack-8 | 1–5 | 16.67% |
| Flavo vs Armor King | 2–4 | 33.33% |
| Flavo vs Shaheen | 0–3 | 0.00% |
| Flavo vs Panda | 1–2 | 33.33% |
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.