| All Games Tupra vs Steve | 9–2 | 81.82% |
| All Games Tupra vs King | 9–1 | 90.00% |
| All Games Tupra vs Law | 4–2 | 66.67% |
| All Games Tupra vs Bryan | 5–1 | 83.33% |
| All Games Tupra vs Asuka | 4–2 | 66.67% |
| All Games Tupra vs Hwoarang | 4–1 | 80.00% |
| All Games Tupra vs Zafina | 3–2 | 60.00% |
| All Games Tupra vs Clive | 5–0 | 100.00% |
| All Games Tupra vs Jin | 4–0 | 100.00% |
| All Games Tupra vs Lili | 3–1 | 75.00% |
| All Games Tupra vs Reina | 4–0 | 100.00% |
| All Games Tupra vs Azucena | 4–0 | 100.00% |
| All Games Tupra vs Victor | 3–1 | 75.00% |
| All Games Tupra vs Feng | 2–1 | 66.67% |
| All Games Tupra vs Nina | 2–1 | 66.67% |
| All Games Tupra vs Kazuya | 2–0 | 100.00% |
| All Games Tupra vs Panda | 2–0 | 100.00% |
| All Games Tupra vs Eddy | 2–0 | 100.00% |
| All Games Tupra vs Paul | 0–1 | 0.00% |
| All Games Tupra vs Devil Jin | 0–1 | 0.00% |
| All Games Tupra vs Lee | 1–0 | 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.