| Lovvski vs Kazuya | 211–140 | 60.11% |
| Lovvski vs Bryan | 163–103 | 61.28% |
| Lovvski vs Jin | 125–103 | 54.82% |
| Lovvski vs Dragunov | 105–113 | 48.17% |
| Lovvski vs Reina | 100–96 | 51.02% |
| Lovvski vs King | 120–73 | 62.18% |
| Lovvski vs Paul | 106–70 | 60.23% |
| Lovvski vs Heihachi | 85–83 | 50.60% |
| Lovvski vs Lee | 80–80 | 50.00% |
| Lovvski vs Hwoarang | 76–69 | 52.41% |
| Lovvski vs Steve | 71–74 | 48.97% |
| Lovvski vs Yoshimitsu | 62–71 | 46.62% |
| Lovvski vs Devil Jin | 66–57 | 53.66% |
| Lovvski vs Law | 67–48 | 58.26% |
| Lovvski vs Jun | 55–59 | 48.25% |
| Lovvski vs Azucena | 62–49 | 55.86% |
| Lovvski vs Clive | 56–51 | 52.34% |
| Lovvski vs Lili | 59–42 | 58.42% |
| Lovvski vs Lars | 53–44 | 54.64% |
| Lovvski vs Feng | 50–35 | 58.82% |
| Lovvski vs Alisa | 50–33 | 60.24% |
| Lovvski vs Nina | 51–27 | 65.38% |
| Lovvski vs Raven | 36–41 | 46.75% |
| Lovvski vs Asuka | 49–27 | 64.47% |
| Lovvski vs Jack-8 | 26–43 | 37.68% |
| Lovvski vs Leo | 32–37 | 46.38% |
| Lovvski vs Zafina | 24–45 | 34.78% |
| Lovvski vs Xiaoyu | 31–31 | 50.00% |
| Lovvski vs Lidia | 31–31 | 50.00% |
| Lovvski vs Shaheen | 30–31 | 49.18% |
| Lovvski vs Kuma | 24–29 | 45.28% |
| Lovvski vs Victor | 22–30 | 42.31% |
| Lovvski vs Eddy | 18–31 | 36.73% |
| Lovvski vs Leroy | 28–19 | 59.57% |
| Lovvski vs Claudio | 25–17 | 59.52% |
| Lovvski vs Fahkumram | 18–15 | 54.55% |
| Lovvski vs Miary Zo | 14–16 | 46.67% |
| Lovvski vs Anna | 11–15 | 42.31% |
| Lovvski vs Armor King | 9–15 | 37.50% |
| Lovvski vs Panda | 5–15 | 25.00% |
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.