| h_fvl vs Kazuya | 59–66 | 47.20% |
| h_fvl vs King | 47–75 | 38.52% |
| h_fvl vs Jin | 48–74 | 39.34% |
| h_fvl vs Bryan | 43–68 | 38.74% |
| h_fvl vs Steve | 53–42 | 55.79% |
| h_fvl vs Dragunov | 32–49 | 39.51% |
| h_fvl vs Law | 39–35 | 52.70% |
| h_fvl vs Heihachi | 30–44 | 40.54% |
| h_fvl vs Reina | 33–32 | 50.77% |
| h_fvl vs Devil Jin | 27–34 | 44.26% |
| h_fvl vs Hwoarang | 27–27 | 50.00% |
| h_fvl vs Lee | 26–22 | 54.17% |
| h_fvl vs Victor | 23–21 | 52.27% |
| h_fvl vs Clive | 24–20 | 54.55% |
| h_fvl vs Yoshimitsu | 19–23 | 45.24% |
| h_fvl vs Jun | 18–20 | 47.37% |
| h_fvl vs Paul | 21–15 | 58.33% |
| h_fvl vs Lili | 16–17 | 48.48% |
| h_fvl vs Nina | 14–17 | 45.16% |
| h_fvl vs Lars | 15–15 | 50.00% |
| h_fvl vs Asuka | 11–17 | 39.29% |
| h_fvl vs Eddy | 11–12 | 47.83% |
| h_fvl vs Azucena | 5–16 | 23.81% |
| h_fvl vs Feng | 8–11 | 42.11% |
| h_fvl vs Anna | 7–11 | 38.89% |
| h_fvl vs Xiaoyu | 9–8 | 52.94% |
| h_fvl vs Fahkumram | 7–10 | 41.18% |
| h_fvl vs Jack-8 | 6–10 | 37.50% |
| h_fvl vs Leo | 7–9 | 43.75% |
| h_fvl vs Alisa | 9–6 | 60.00% |
| h_fvl vs Raven | 12–3 | 80.00% |
| h_fvl vs Leroy | 9–5 | 64.29% |
| h_fvl vs Claudio | 5–6 | 45.45% |
| h_fvl vs Shaheen | 7–4 | 63.64% |
| h_fvl vs Kuma | 2–5 | 28.57% |
| h_fvl vs Zafina | 5–2 | 71.43% |
| h_fvl vs Panda | 3–2 | 60.00% |
| h_fvl vs Lidia | 4–0 | 100.00% |
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.