Name history
| i love women | |
| i miss t7 hei | |
| DontSideSwapMe | |
| Don'tSideSwapMe | |
| WrongSideMshima |
| i love women vs Heihachi | 39–3 | 92.86% |
| i love women vs Reina | 34–4 | 89.47% |
| i love women vs Jin | 23–5 | 82.14% |
| i love women vs Kazuya | 18–5 | 78.26% |
| i love women vs Asuka | 15–4 | 78.95% |
| i love women vs King | 11–6 | 64.71% |
| i love women vs Lili | 15–2 | 88.24% |
| i love women vs Law | 12–4 | 75.00% |
| i love women vs Steve | 10–4 | 71.43% |
| i love women vs Bryan | 8–5 | 61.54% |
| i love women vs Azucena | 10–3 | 76.92% |
| i love women vs Victor | 10–3 | 76.92% |
| i love women vs Yoshimitsu | 10–2 | 83.33% |
| i love women vs Shaheen | 9–3 | 75.00% |
| i love women vs Lars | 7–4 | 63.64% |
| i love women vs Lidia | 4–7 | 36.36% |
| i love women vs Hwoarang | 10–0 | 100.00% |
| i love women vs Dragunov | 9–1 | 90.00% |
| i love women vs Paul | 8–0 | 100.00% |
| i love women vs Claudio | 6–2 | 75.00% |
| i love women vs Lee | 6–2 | 75.00% |
| i love women vs Panda | 7–1 | 87.50% |
| i love women vs Jun | 6–2 | 75.00% |
| i love women vs Xiaoyu | 2–4 | 33.33% |
| i love women vs Devil Jin | 6–0 | 100.00% |
| i love women vs Leo | 4–0 | 100.00% |
| i love women vs Nina | 4–0 | 100.00% |
| i love women vs Kuma | 4–0 | 100.00% |
| i love women vs Feng | 2–1 | 66.67% |
| i love women vs Leroy | 3–0 | 100.00% |
| i love women vs Jack-8 | 2–0 | 100.00% |
| i love women vs Eddy | 2–0 | 100.00% |
| i love women vs Raven | 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.