| LoverLew vs King | 65–51 | 56.03% |
| LoverLew vs Hwoarang | 51–41 | 55.43% |
| LoverLew vs Kazuya | 48–42 | 53.33% |
| LoverLew vs Jin | 44–44 | 50.00% |
| LoverLew vs Steve | 48–38 | 55.81% |
| LoverLew vs Bryan | 38–44 | 46.34% |
| LoverLew vs Law | 44–37 | 54.32% |
| LoverLew vs Eddy | 45–31 | 59.21% |
| LoverLew vs Reina | 28–45 | 38.36% |
| LoverLew vs Lili | 30–36 | 45.45% |
| LoverLew vs Lars | 44–16 | 73.33% |
| LoverLew vs Asuka | 29–28 | 50.88% |
| LoverLew vs Dragunov | 23–33 | 41.07% |
| LoverLew vs Azucena | 22–33 | 40.00% |
| LoverLew vs Yoshimitsu | 25–28 | 47.17% |
| LoverLew vs Lee | 30–20 | 60.00% |
| LoverLew vs Paul | 24–24 | 50.00% |
| LoverLew vs Heihachi | 22–23 | 48.89% |
| LoverLew vs Victor | 24–20 | 54.55% |
| LoverLew vs Nina | 23–19 | 54.76% |
| LoverLew vs Feng | 22–19 | 53.66% |
| LoverLew vs Jack-8 | 16–22 | 42.11% |
| LoverLew vs Alisa | 20–18 | 52.63% |
| LoverLew vs Leo | 21–13 | 61.76% |
| LoverLew vs Leroy | 12–18 | 40.00% |
| LoverLew vs Jun | 14–16 | 46.67% |
| LoverLew vs Xiaoyu | 19–10 | 65.52% |
| LoverLew vs Raven | 11–14 | 44.00% |
| LoverLew vs Shaheen | 7–14 | 33.33% |
| LoverLew vs Devil Jin | 12–8 | 60.00% |
| LoverLew vs Clive | 9–9 | 50.00% |
| LoverLew vs Claudio | 8–9 | 47.06% |
| LoverLew vs Kuma | 11–5 | 68.75% |
| LoverLew vs Lidia | 6–4 | 60.00% |
| LoverLew vs Armor King | 6–3 | 66.67% |
| LoverLew vs Zafina | 3–5 | 37.50% |
| LoverLew vs Fahkumram | 4–2 | 66.67% |
| LoverLew vs Anna | 3–2 | 60.00% |
| LoverLew vs Miary Zo | 1–2 | 33.33% |
| LoverLew vs Panda | 2–0 | 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.