| Lola vs Kazuya | 24–15 | 61.54% |
| Lola vs Hwoarang | 13–20 | 39.39% |
| Lola vs King | 8–23 | 25.81% |
| Lola vs Jin | 16–13 | 55.17% |
| Lola vs Reina | 9–17 | 34.62% |
| Lola vs Clive | 13–13 | 50.00% |
| Lola vs Eddy | 10–15 | 40.00% |
| Lola vs Law | 11–13 | 45.83% |
| Lola vs Bryan | 14–9 | 60.87% |
| Lola vs Steve | 12–11 | 52.17% |
| Lola vs Heihachi | 8–11 | 42.11% |
| Lola vs Lee | 15–2 | 88.24% |
| Lola vs Jun | 8–9 | 47.06% |
| Lola vs Xiaoyu | 10–5 | 66.67% |
| Lola vs Yoshimitsu | 10–2 | 83.33% |
| Lola vs Lili | 7–5 | 58.33% |
| Lola vs Anna | 7–5 | 58.33% |
| Lola vs Armor King | 8–4 | 66.67% |
| Lola vs Feng | 7–4 | 63.64% |
| Lola vs Alisa | 8–3 | 72.73% |
| Lola vs Azucena | 5–6 | 45.45% |
| Lola vs Dragunov | 7–3 | 70.00% |
| Lola vs Shaheen | 5–5 | 50.00% |
| Lola vs Fahkumram | 8–2 | 80.00% |
| Lola vs Nina | 4–4 | 50.00% |
| Lola vs Victor | 6–2 | 75.00% |
| Lola vs Asuka | 4–3 | 57.14% |
| Lola vs Devil Jin | 2–5 | 28.57% |
| Lola vs Kuma | 5–2 | 71.43% |
| Lola vs Lidia | 4–3 | 57.14% |
| Lola vs Paul | 2–4 | 33.33% |
| Lola vs Lars | 3–3 | 50.00% |
| Lola vs Leo | 3–2 | 60.00% |
| Lola vs Claudio | 2–2 | 50.00% |
| Lola vs Leroy | 3–1 | 75.00% |
| Lola vs Miary Zo | 3–1 | 75.00% |
| Lola vs Jack-8 | 3–0 | 100.00% |
| Lola vs Raven | 3–0 | 100.00% |
| Lola vs Zafina | 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.