| LoveSvae vs King | 62–73 | 45.93% |
| LoveSvae vs Jin | 69–62 | 52.67% |
| LoveSvae vs Kazuya | 71–53 | 57.26% |
| LoveSvae vs Steve | 51–45 | 53.12% |
| LoveSvae vs Hwoarang | 50–45 | 52.63% |
| LoveSvae vs Law | 41–51 | 44.57% |
| LoveSvae vs Reina | 46–42 | 52.27% |
| LoveSvae vs Bryan | 47–39 | 54.65% |
| LoveSvae vs Asuka | 38–44 | 46.34% |
| LoveSvae vs Eddy | 42–38 | 52.50% |
| LoveSvae vs Paul | 28–39 | 41.79% |
| LoveSvae vs Azucena | 41–21 | 66.13% |
| LoveSvae vs Dragunov | 28–33 | 45.90% |
| LoveSvae vs Yoshimitsu | 32–28 | 53.33% |
| LoveSvae vs Lili | 28–28 | 50.00% |
| LoveSvae vs Jun | 26–30 | 46.43% |
| LoveSvae vs Lee | 26–29 | 47.27% |
| LoveSvae vs Lars | 29–18 | 61.70% |
| LoveSvae vs Xiaoyu | 22–24 | 47.83% |
| LoveSvae vs Victor | 25–20 | 55.56% |
| LoveSvae vs Devil Jin | 17–18 | 48.57% |
| LoveSvae vs Leroy | 19–15 | 55.88% |
| LoveSvae vs Nina | 13–19 | 40.62% |
| LoveSvae vs Jack-8 | 17–12 | 58.62% |
| LoveSvae vs Leo | 14–13 | 51.85% |
| LoveSvae vs Shaheen | 10–15 | 40.00% |
| LoveSvae vs Feng | 8–16 | 33.33% |
| LoveSvae vs Raven | 12–11 | 52.17% |
| LoveSvae vs Lidia | 12–10 | 54.55% |
| LoveSvae vs Alisa | 17–4 | 80.95% |
| LoveSvae vs Kuma | 10–10 | 50.00% |
| LoveSvae vs Zafina | 4–7 | 36.36% |
| LoveSvae vs Panda | 3–4 | 42.86% |
| LoveSvae vs Heihachi | 1–5 | 16.67% |
| LoveSvae vs Fahkumram | 1–5 | 16.67% |
| LoveSvae vs Claudio | 3–2 | 60.00% |
| LoveSvae vs Armor King | 3–2 | 60.00% |
| LoveSvae vs Clive | 2–2 | 50.00% |
| LoveSvae vs Anna | 2–0 | 100.00% |
| LoveSvae vs Miary Zo | 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.