| Lovely vs King | 31–25 | 55.36% |
| Lovely vs Jin | 32–21 | 60.38% |
| Lovely vs Kazuya | 23–15 | 60.53% |
| Lovely vs Dragunov | 21–14 | 60.00% |
| Lovely vs Reina | 18–16 | 52.94% |
| Lovely vs Bryan | 12–20 | 37.50% |
| Lovely vs Hwoarang | 25–6 | 80.65% |
| Lovely vs Law | 14–14 | 50.00% |
| Lovely vs Steve | 18–9 | 66.67% |
| Lovely vs Yoshimitsu | 9–15 | 37.50% |
| Lovely vs Asuka | 14–9 | 60.87% |
| Lovely vs Lili | 13–10 | 56.52% |
| Lovely vs Lars | 8–13 | 38.10% |
| Lovely vs Paul | 12–7 | 63.16% |
| Lovely vs Feng | 12–7 | 63.16% |
| Lovely vs Jun | 9–10 | 47.37% |
| Lovely vs Raven | 10–9 | 52.63% |
| Lovely vs Devil Jin | 9–9 | 50.00% |
| Lovely vs Nina | 11–7 | 61.11% |
| Lovely vs Alisa | 7–10 | 41.18% |
| Lovely vs Azucena | 10–5 | 66.67% |
| Lovely vs Eddy | 9–6 | 60.00% |
| Lovely vs Lee | 10–3 | 76.92% |
| Lovely vs Kuma | 7–6 | 53.85% |
| Lovely vs Xiaoyu | 7–5 | 58.33% |
| Lovely vs Heihachi | 4–7 | 36.36% |
| Lovely vs Victor | 7–2 | 77.78% |
| Lovely vs Leo | 2–5 | 28.57% |
| Lovely vs Lidia | 6–1 | 85.71% |
| Lovely vs Leroy | 6–0 | 100.00% |
| Lovely vs Claudio | 2–3 | 40.00% |
| Lovely vs Zafina | 2–3 | 40.00% |
| Lovely vs Shaheen | 4–0 | 100.00% |
| Lovely vs Clive | 2–2 | 50.00% |
| Lovely vs Anna | 3–1 | 75.00% |
| Lovely vs Jack-8 | 2–0 | 100.00% |
| Lovely vs Fahkumram | 2–0 | 100.00% |
| Lovely vs Panda | 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.