| Andrew Del Game vs Kuma | 3–3 | 50.00% |
| Andrew Del Game vs Heihachi | 5–1 | 83.33% |
| Andrew Del Game vs Leo | 1–4 | 20.00% |
| Andrew Del Game vs Reina | 3–2 | 60.00% |
| Andrew Del Game vs King | 1–3 | 25.00% |
| Andrew Del Game vs Paul | 2–1 | 66.67% |
| Andrew Del Game vs Bryan | 1–2 | 33.33% |
| Andrew Del Game vs Asuka | 2–1 | 66.67% |
| Andrew Del Game vs Alisa | 1–2 | 33.33% |
| Andrew Del Game vs Nina | 2–1 | 66.67% |
| Andrew Del Game vs Leroy | 2–1 | 66.67% |
| Andrew Del Game vs Lidia | 2–1 | 66.67% |
| Andrew Del Game vs Law | 0–2 | 0.00% |
| Andrew Del Game vs Yoshimitsu | 2–0 | 100.00% |
| Andrew Del Game vs Kazuya | 2–0 | 100.00% |
| Andrew Del Game vs Steve | 2–0 | 100.00% |
| Andrew Del Game vs Claudio | 2–0 | 100.00% |
| Andrew Del Game vs Eddy | 0–2 | 0.00% |
| Andrew Del Game vs Jun | 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.