| Lopes vs Jin | 26–23 | 53.06% |
| Lopes vs Hwoarang | 21–27 | 43.75% |
| Lopes vs Kazuya | 22–24 | 47.83% |
| Lopes vs King | 28–16 | 63.64% |
| Lopes vs Law | 11–20 | 35.48% |
| Lopes vs Steve | 13–17 | 43.33% |
| Lopes vs Lili | 16–12 | 57.14% |
| Lopes vs Reina | 18–9 | 66.67% |
| Lopes vs Eddy | 12–15 | 44.44% |
| Lopes vs Bryan | 14–9 | 60.87% |
| Lopes vs Yoshimitsu | 11–11 | 50.00% |
| Lopes vs Victor | 12–9 | 57.14% |
| Lopes vs Paul | 11–8 | 57.89% |
| Lopes vs Jun | 8–11 | 42.11% |
| Lopes vs Clive | 9–10 | 47.37% |
| Lopes vs Devil Jin | 7–11 | 38.89% |
| Lopes vs Asuka | 10–6 | 62.50% |
| Lopes vs Dragunov | 7–9 | 43.75% |
| Lopes vs Alisa | 6–8 | 42.86% |
| Lopes vs Xiaoyu | 5–7 | 41.67% |
| Lopes vs Armor King | 9–3 | 75.00% |
| Lopes vs Nina | 6–4 | 60.00% |
| Lopes vs Feng | 1–8 | 11.11% |
| Lopes vs Heihachi | 3–6 | 33.33% |
| Lopes vs Lars | 4–4 | 50.00% |
| Lopes vs Lee | 2–6 | 25.00% |
| Lopes vs Jack-8 | 2–4 | 33.33% |
| Lopes vs Shaheen | 2–4 | 33.33% |
| Lopes vs Kuma | 1–4 | 20.00% |
| Lopes vs Azucena | 3–2 | 60.00% |
| Lopes vs Raven | 1–4 | 20.00% |
| Lopes vs Leo | 3–1 | 75.00% |
| Lopes vs Claudio | 2–2 | 50.00% |
| Lopes vs Lidia | 2–2 | 50.00% |
| Lopes vs Fahkumram | 1–3 | 25.00% |
| Lopes vs Zafina | 0–3 | 0.00% |
| Lopes vs Leroy | 2–1 | 66.67% |
| Lopes vs Panda | 1–1 | 50.00% |
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.