| LEARNING GAMES vs Kazuya | 5–2 | 71.43% |
| LEARNING GAMES vs Steve | 6–1 | 85.71% |
| LEARNING GAMES vs Lars | 6–0 | 100.00% |
| LEARNING GAMES vs Asuka | 3–1 | 75.00% |
| LEARNING GAMES vs Paul | 1–2 | 33.33% |
| LEARNING GAMES vs Law | 3–0 | 100.00% |
| LEARNING GAMES vs Lee | 3–0 | 100.00% |
| LEARNING GAMES vs Reina | 3–0 | 100.00% |
| LEARNING GAMES vs Eddy | 2–1 | 66.67% |
| LEARNING GAMES vs Clive | 3–0 | 100.00% |
| LEARNING GAMES vs King | 2–0 | 100.00% |
| LEARNING GAMES vs Jin | 2–0 | 100.00% |
| LEARNING GAMES vs Lili | 2–0 | 100.00% |
| LEARNING GAMES vs Leo | 0–2 | 0.00% |
| LEARNING GAMES vs Alisa | 0–2 | 0.00% |
| LEARNING GAMES vs Claudio | 2–0 | 100.00% |
| LEARNING GAMES vs Yoshimitsu | 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.