| Lovennn vs Heihachi | 25–48 | 34.25% |
| Lovennn vs Reina | 23–41 | 35.94% |
| Lovennn vs King | 29–22 | 56.86% |
| Lovennn vs Hwoarang | 14–24 | 36.84% |
| Lovennn vs Jin | 18–16 | 52.94% |
| Lovennn vs Lili | 15–17 | 46.88% |
| Lovennn vs Asuka | 13–18 | 41.94% |
| Lovennn vs Paul | 13–16 | 44.83% |
| Lovennn vs Bryan | 13–16 | 44.83% |
| Lovennn vs Kazuya | 14–15 | 48.28% |
| Lovennn vs Steve | 11–16 | 40.74% |
| Lovennn vs Lars | 12–11 | 52.17% |
| Lovennn vs Victor | 10–12 | 45.45% |
| Lovennn vs Law | 6–15 | 28.57% |
| Lovennn vs Azucena | 14–6 | 70.00% |
| Lovennn vs Jun | 9–10 | 47.37% |
| Lovennn vs Dragunov | 8–9 | 47.06% |
| Lovennn vs Lee | 7–10 | 41.18% |
| Lovennn vs Eddy | 6–10 | 37.50% |
| Lovennn vs Nina | 8–7 | 53.33% |
| Lovennn vs Xiaoyu | 7–7 | 50.00% |
| Lovennn vs Leo | 7–6 | 53.85% |
| Lovennn vs Yoshimitsu | 7–5 | 58.33% |
| Lovennn vs Lidia | 4–7 | 36.36% |
| Lovennn vs Leroy | 5–4 | 55.56% |
| Lovennn vs Devil Jin | 4–3 | 57.14% |
| Lovennn vs Kuma | 4–3 | 57.14% |
| Lovennn vs Alisa | 2–3 | 40.00% |
| Lovennn vs Claudio | 1–4 | 20.00% |
| Lovennn vs Jack-8 | 2–2 | 50.00% |
| Lovennn vs Feng | 2–1 | 66.67% |
| Lovennn vs Clive | 1–2 | 33.33% |
| Lovennn vs Shaheen | 2–0 | 100.00% |
| Lovennn vs Panda | 0–2 | 0.00% |
| Lovennn vs Raven | 2–0 | 100.00% |
| Lovennn vs Zafina | 1–0 | 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.