| LoveBirdzz vs Kazuya | 65–114 | 36.31% |
| LoveBirdzz vs Jin | 58–106 | 35.37% |
| LoveBirdzz vs Bryan | 43–72 | 37.39% |
| LoveBirdzz vs Reina | 39–60 | 39.39% |
| LoveBirdzz vs King | 44–46 | 48.89% |
| LoveBirdzz vs Hwoarang | 35–49 | 41.67% |
| LoveBirdzz vs Steve | 48–36 | 57.14% |
| LoveBirdzz vs Dragunov | 42–40 | 51.22% |
| LoveBirdzz vs Lili | 32–48 | 40.00% |
| LoveBirdzz vs Clive | 23–37 | 38.33% |
| LoveBirdzz vs Yoshimitsu | 14–41 | 25.45% |
| LoveBirdzz vs Lars | 21–32 | 39.62% |
| LoveBirdzz vs Jun | 21–30 | 41.18% |
| LoveBirdzz vs Asuka | 19–31 | 38.00% |
| LoveBirdzz vs Paul | 16–32 | 33.33% |
| LoveBirdzz vs Victor | 17–26 | 39.53% |
| LoveBirdzz vs Lee | 11–31 | 26.19% |
| LoveBirdzz vs Law | 19–22 | 46.34% |
| LoveBirdzz vs Feng | 14–25 | 35.90% |
| LoveBirdzz vs Alisa | 18–21 | 46.15% |
| LoveBirdzz vs Heihachi | 15–23 | 39.47% |
| LoveBirdzz vs Jack-8 | 11–22 | 33.33% |
| LoveBirdzz vs Devil Jin | 20–13 | 60.61% |
| LoveBirdzz vs Xiaoyu | 13–16 | 44.83% |
| LoveBirdzz vs Leroy | 13–14 | 48.15% |
| LoveBirdzz vs Zafina | 6–18 | 25.00% |
| LoveBirdzz vs Claudio | 10–13 | 43.48% |
| LoveBirdzz vs Shaheen | 13–9 | 59.09% |
| LoveBirdzz vs Leo | 10–11 | 47.62% |
| LoveBirdzz vs Nina | 11–10 | 52.38% |
| LoveBirdzz vs Kuma | 9–11 | 45.00% |
| LoveBirdzz vs Azucena | 10–10 | 50.00% |
| LoveBirdzz vs Lidia | 9–10 | 47.37% |
| LoveBirdzz vs Raven | 12–5 | 70.59% |
| LoveBirdzz vs Eddy | 5–12 | 29.41% |
| LoveBirdzz vs Anna | 3–8 | 27.27% |
| LoveBirdzz vs Panda | 0–4 | 0.00% |
| LoveBirdzz vs Fahkumram | 2–1 | 66.67% |
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.