| Memol888 vs Reina | 18–22 | 45.00% |
| Memol888 vs King | 21–18 | 53.85% |
| Memol888 vs Jin | 19–18 | 51.35% |
| Memol888 vs Steve | 25–7 | 78.12% |
| Memol888 vs Eddy | 12–18 | 40.00% |
| Memol888 vs Hwoarang | 14–11 | 56.00% |
| Memol888 vs Jun | 11–13 | 45.83% |
| Memol888 vs Nina | 15–8 | 65.22% |
| Memol888 vs Asuka | 12–10 | 54.55% |
| Memol888 vs Kazuya | 10–11 | 47.62% |
| Memol888 vs Alisa | 11–10 | 52.38% |
| Memol888 vs Azucena | 14–7 | 66.67% |
| Memol888 vs Paul | 9–8 | 52.94% |
| Memol888 vs Lili | 8–9 | 47.06% |
| Memol888 vs Law | 9–7 | 56.25% |
| Memol888 vs Victor | 12–4 | 75.00% |
| Memol888 vs Xiaoyu | 10–5 | 66.67% |
| Memol888 vs Dragunov | 8–7 | 53.33% |
| Memol888 vs Zafina | 9–6 | 60.00% |
| Memol888 vs Lidia | 9–6 | 60.00% |
| Memol888 vs Feng | 5–9 | 35.71% |
| Memol888 vs Raven | 6–7 | 46.15% |
| Memol888 vs Bryan | 9–3 | 75.00% |
| Memol888 vs Leo | 5–7 | 41.67% |
| Memol888 vs Lars | 3–9 | 25.00% |
| Memol888 vs Shaheen | 9–3 | 75.00% |
| Memol888 vs Lee | 4–8 | 33.33% |
| Memol888 vs Heihachi | 5–6 | 45.45% |
| Memol888 vs Yoshimitsu | 4–6 | 40.00% |
| Memol888 vs Clive | 7–3 | 70.00% |
| Memol888 vs Jack-8 | 3–6 | 33.33% |
| Memol888 vs Claudio | 2–7 | 22.22% |
| Memol888 vs Kuma | 8–1 | 88.89% |
| Memol888 vs Leroy | 5–4 | 55.56% |
| Memol888 vs Devil Jin | 0–7 | 0.00% |
| Memol888 vs Fahkumram | 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.