Name history
| Mr too slippery | 25 Dec 2024 |
| That nigaa | 24 Dec 2024 |
| 223s | 24 Dec 2024 |
| Mr too slippery vs Clive | 2–7 | 22.22% |
| Mr too slippery vs Reina | 1–6 | 14.29% |
| Mr too slippery vs Victor | 2–4 | 33.33% |
| Mr too slippery vs Nina | 1–4 | 20.00% |
| Mr too slippery vs Lidia | 2–3 | 40.00% |
| Mr too slippery vs King | 4–0 | 100.00% |
| Mr too slippery vs Steve | 0–4 | 0.00% |
| Mr too slippery vs Xiaoyu | 2–1 | 66.67% |
| Mr too slippery vs Jin | 1–2 | 33.33% |
| Mr too slippery vs Jun | 0–3 | 0.00% |
| Mr too slippery vs Eddy | 0–3 | 0.00% |
| Mr too slippery vs Law | 0–2 | 0.00% |
| Mr too slippery vs Hwoarang | 1–1 | 50.00% |
| Mr too slippery vs Feng | 0–2 | 0.00% |
| Mr too slippery vs Lili | 0–2 | 0.00% |
| Mr too slippery vs Lars | 0–2 | 0.00% |
| Mr too slippery vs Asuka | 0–1 | 0.00% |
| Mr too slippery vs Leo | 0–1 | 0.00% |
| Mr too slippery vs Panda | 0–1 | 0.00% |
| Mr too slippery vs Dragunov | 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.