| Lavq vs Jin | 89–49 | 64.49% |
| Lavq vs Kazuya | 103–33 | 75.74% |
| Lavq vs King | 63–51 | 55.26% |
| Lavq vs Dragunov | 68–33 | 67.33% |
| Lavq vs Bryan | 58–29 | 66.67% |
| Lavq vs Heihachi | 51–35 | 59.30% |
| Lavq vs Hwoarang | 37–45 | 45.12% |
| Lavq vs Law | 41–24 | 63.08% |
| Lavq vs Devil Jin | 41–24 | 63.08% |
| Lavq vs Lili | 35–27 | 56.45% |
| Lavq vs Jun | 28–27 | 50.91% |
| Lavq vs Asuka | 26–27 | 49.06% |
| Lavq vs Paul | 30–22 | 57.69% |
| Lavq vs Lee | 27–20 | 57.45% |
| Lavq vs Reina | 29–17 | 63.04% |
| Lavq vs Steve | 21–24 | 46.67% |
| Lavq vs Claudio | 22–19 | 53.66% |
| Lavq vs Xiaoyu | 19–20 | 48.72% |
| Lavq vs Nina | 15–24 | 38.46% |
| Lavq vs Alisa | 11–27 | 28.95% |
| Lavq vs Feng | 19–18 | 51.35% |
| Lavq vs Lars | 14–23 | 37.84% |
| Lavq vs Yoshimitsu | 15–20 | 42.86% |
| Lavq vs Eddy | 13–22 | 37.14% |
| Lavq vs Leo | 16–18 | 47.06% |
| Lavq vs Jack-8 | 17–11 | 60.71% |
| Lavq vs Leroy | 15–12 | 55.56% |
| Lavq vs Clive | 13–13 | 50.00% |
| Lavq vs Kuma | 10–15 | 40.00% |
| Lavq vs Azucena | 15–10 | 60.00% |
| Lavq vs Victor | 19–3 | 86.36% |
| Lavq vs Shaheen | 11–6 | 64.71% |
| Lavq vs Lidia | 10–5 | 66.67% |
| Lavq vs Zafina | 5–9 | 35.71% |
| Lavq vs Armor King | 3–5 | 37.50% |
| Lavq vs Raven | 2–2 | 50.00% |
| Lavq vs Panda | 0–3 | 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.