| Gimbaapp vs Victor | 4–5 | 44.44% |
| Gimbaapp vs Dragunov | 2–6 | 25.00% |
| Gimbaapp vs Steve | 4–2 | 66.67% |
| Gimbaapp vs Lee | 0–5 | 0.00% |
| Gimbaapp vs Hwoarang | 0–4 | 0.00% |
| Gimbaapp vs Jin | 1–3 | 25.00% |
| Gimbaapp vs Lili | 2–1 | 66.67% |
| Gimbaapp vs Alisa | 1–2 | 33.33% |
| Gimbaapp vs Fahkumram | 2–1 | 66.67% |
| Gimbaapp vs Law | 0–2 | 0.00% |
| Gimbaapp vs Reina | 2–0 | 100.00% |
| Gimbaapp vs Azucena | 0–2 | 0.00% |
| Gimbaapp vs Eddy | 1–1 | 50.00% |
| Gimbaapp vs Clive | 2–0 | 100.00% |
| Gimbaapp vs Anna | 0–2 | 0.00% |
| Gimbaapp vs Armor King | 1–1 | 50.00% |
| Gimbaapp vs Asuka | 0–1 | 0.00% |
| Gimbaapp vs Nina | 0–1 | 0.00% |
| Gimbaapp 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.