| APPLE18号 vs King | 3–5 | 37.50% |
| APPLE18号 vs Reina | 3–5 | 37.50% |
| APPLE18号 vs Jin | 3–3 | 50.00% |
| APPLE18号 vs Jun | 2–4 | 33.33% |
| APPLE18号 vs Dragunov | 3–2 | 60.00% |
| APPLE18号 vs Leroy | 3–2 | 60.00% |
| APPLE18号 vs Law | 0–3 | 0.00% |
| APPLE18号 vs Kazuya | 1–2 | 33.33% |
| APPLE18号 vs Lars | 0–3 | 0.00% |
| APPLE18号 vs Alisa | 2–1 | 66.67% |
| APPLE18号 vs Paul | 2–0 | 100.00% |
| APPLE18号 vs Yoshimitsu | 0–2 | 0.00% |
| APPLE18号 vs Bryan | 1–1 | 50.00% |
| APPLE18号 vs Lili | 0–2 | 0.00% |
| APPLE18号 vs Eddy | 1–1 | 50.00% |
| APPLE18号 vs Hwoarang | 0–1 | 0.00% |
| APPLE18号 vs Feng | 0–1 | 0.00% |
| APPLE18号 vs Nina | 0–1 | 0.00% |
| APPLE18号 vs Kuma | 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.