| lov@live vs Reina | 39–28 | 58.21% |
| lov@live vs Paul | 35–31 | 53.03% |
| lov@live vs Dragunov | 38–26 | 59.38% |
| lov@live vs Kazuya | 34–24 | 58.62% |
| lov@live vs Victor | 24–30 | 44.44% |
| lov@live vs Hwoarang | 28–23 | 54.90% |
| lov@live vs Asuka | 30–18 | 62.50% |
| lov@live vs Bryan | 28–17 | 62.22% |
| lov@live vs Lili | 36–8 | 81.82% |
| lov@live vs Jin | 27–16 | 62.79% |
| lov@live vs Jun | 23–19 | 54.76% |
| lov@live vs Yoshimitsu | 24–16 | 60.00% |
| lov@live vs Claudio | 22–16 | 57.89% |
| lov@live vs Steve | 21–15 | 58.33% |
| lov@live vs Eddy | 22–12 | 64.71% |
| lov@live vs Lars | 9–22 | 29.03% |
| lov@live vs King | 18–11 | 62.07% |
| lov@live vs Heihachi | 16–12 | 57.14% |
| lov@live vs Law | 15–12 | 55.56% |
| lov@live vs Alisa | 13–12 | 52.00% |
| lov@live vs Lee | 10–15 | 40.00% |
| lov@live vs Azucena | 15–9 | 62.50% |
| lov@live vs Jack-8 | 12–11 | 52.17% |
| lov@live vs Nina | 11–12 | 47.83% |
| lov@live vs Kuma | 16–4 | 80.00% |
| lov@live vs Clive | 5–13 | 27.78% |
| lov@live vs Devil Jin | 6–10 | 37.50% |
| lov@live vs Feng | 8–8 | 50.00% |
| lov@live vs Xiaoyu | 9–6 | 60.00% |
| lov@live vs Leo | 8–6 | 57.14% |
| lov@live vs Leroy | 6–8 | 42.86% |
| lov@live vs Raven | 4–8 | 33.33% |
| lov@live vs Shaheen | 5–6 | 45.45% |
| lov@live vs Miary Zo | 8–3 | 72.73% |
| lov@live vs Zafina | 3–4 | 42.86% |
| lov@live vs Lidia | 3–4 | 42.86% |
| lov@live vs Panda | 2–3 | 40.00% |
| lov@live vs Fahkumram | 0–4 | 0.00% |
| lov@live vs Anna | 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.