| Lolito vs Reina | 22–45 | 32.84% |
| Lolito vs Jin | 18–45 | 28.57% |
| Lolito vs Kazuya | 14–47 | 22.95% |
| Lolito vs Clive | 15–44 | 25.42% |
| Lolito vs Hwoarang | 18–33 | 35.29% |
| Lolito vs Lili | 15–32 | 31.91% |
| Lolito vs Law | 7–34 | 17.07% |
| Lolito vs Heihachi | 10–25 | 28.57% |
| Lolito vs Steve | 6–27 | 18.18% |
| Lolito vs Jun | 7–25 | 21.88% |
| Lolito vs Dragunov | 8–22 | 26.67% |
| Lolito vs King | 8–21 | 27.59% |
| Lolito vs Bryan | 8–20 | 28.57% |
| Lolito vs Victor | 4–23 | 14.81% |
| Lolito vs Azucena | 9–16 | 36.00% |
| Lolito vs Devil Jin | 5–19 | 20.83% |
| Lolito vs Nina | 10–12 | 45.45% |
| Lolito vs Leroy | 6–16 | 27.27% |
| Lolito vs Paul | 4–16 | 20.00% |
| Lolito vs Lars | 4–16 | 20.00% |
| Lolito vs Leo | 6–13 | 31.58% |
| Lolito vs Alisa | 5–12 | 29.41% |
| Lolito vs Asuka | 6–10 | 37.50% |
| Lolito vs Yoshimitsu | 5–10 | 33.33% |
| Lolito vs Xiaoyu | 7–7 | 50.00% |
| Lolito vs Lidia | 5–8 | 38.46% |
| Lolito vs Lee | 4–8 | 33.33% |
| Lolito vs Raven | 3–9 | 25.00% |
| Lolito vs Eddy | 0–12 | 0.00% |
| Lolito vs Jack-8 | 2–8 | 20.00% |
| Lolito vs Feng | 1–8 | 11.11% |
| Lolito vs Shaheen | 3–6 | 33.33% |
| Lolito vs Kuma | 3–6 | 33.33% |
| Lolito vs Panda | 0–5 | 0.00% |
| Lolito vs Claudio | 1–2 | 33.33% |
| Lolito vs Anna | 1–2 | 33.33% |
| Lolito vs Zafina | 0–1 | 0.00% |
| Lolito vs Fahkumram | 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.