| iWin vs Hwoarang | 5–4 | 55.56% |
| iWin vs Eddy | 5–4 | 55.56% |
| iWin vs King | 6–1 | 85.71% |
| iWin vs Feng | 6–0 | 100.00% |
| iWin vs Jun | 3–2 | 60.00% |
| iWin vs Jin | 2–2 | 50.00% |
| iWin vs Bryan | 1–2 | 33.33% |
| iWin vs Leo | 2–1 | 66.67% |
| iWin vs Lee | 2–1 | 66.67% |
| iWin vs Victor | 2–1 | 66.67% |
| iWin vs Law | 2–0 | 100.00% |
| iWin vs Xiaoyu | 0–2 | 0.00% |
| iWin vs Kazuya | 2–0 | 100.00% |
| iWin vs Lili | 0–2 | 0.00% |
| iWin vs Dragunov | 1–1 | 50.00% |
| iWin vs Reina | 1–1 | 50.00% |
| iWin vs Clive | 1–1 | 50.00% |
| iWin vs Anna | 2–0 | 100.00% |
| iWin vs Fahkumram | 2–0 | 100.00% |
| iWin vs Devil Jin | 1–0 | 100.00% |
| iWin vs Claudio | 1–0 | 100.00% |
| iWin vs Leroy | 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.