Name history
| iloveyou | |
| PLAYER1practice | |
| ABNOY-KA? | |
| SUNSILK PINK | |
| SST|BuladwEggZ | |
| Amr.20 | |
| TOYI | |
| OTINsaAGTANG | |
| jin-goy/estrada | |
| parrysite | |
| PRACTICE-PLYR-1 | |
| KAGIROGBOTO | |
| LINI | BUTAY | |
| MAGIC SARAP | |
| pala-igit | |
| SombolofTomboy |
| iloveyou vs Dragunov | 95–83 | 53.37% |
| iloveyou vs Jin | 93–67 | 58.13% |
| iloveyou vs King | 69–65 | 51.49% |
| iloveyou vs Hwoarang | 72–57 | 55.81% |
| iloveyou vs Law | 52–53 | 49.52% |
| iloveyou vs Bryan | 48–50 | 48.98% |
| iloveyou vs Steve | 53–34 | 60.92% |
| iloveyou vs Victor | 49–37 | 56.98% |
| iloveyou vs Lili | 41–37 | 52.56% |
| iloveyou vs Lee | 32–46 | 41.03% |
| iloveyou vs Paul | 41–34 | 54.67% |
| iloveyou vs Alisa | 41–34 | 54.67% |
| iloveyou vs Asuka | 38–33 | 53.52% |
| iloveyou vs Feng | 33–33 | 50.00% |
| iloveyou vs Leo | 29–35 | 45.31% |
| iloveyou vs Reina | 42–21 | 66.67% |
| iloveyou vs Leroy | 39–23 | 62.90% |
| iloveyou vs Zafina | 28–32 | 46.67% |
| iloveyou vs Xiaoyu | 30–29 | 50.85% |
| iloveyou vs Shaheen | 27–32 | 45.76% |
| iloveyou vs Yoshimitsu | 30–27 | 52.63% |
| iloveyou vs Kazuya | 39–17 | 69.64% |
| iloveyou vs Claudio | 21–35 | 37.50% |
| iloveyou vs Jun | 33–22 | 60.00% |
| iloveyou vs Lars | 30–24 | 55.56% |
| iloveyou vs Azucena | 30–19 | 61.22% |
| iloveyou vs Jack-8 | 23–25 | 47.92% |
| iloveyou vs Devil Jin | 21–25 | 45.65% |
| iloveyou vs Nina | 22–23 | 48.89% |
| iloveyou vs Eddy | 24–17 | 58.54% |
| iloveyou vs Kuma | 11–26 | 29.73% |
| iloveyou vs Heihachi | 16–15 | 51.61% |
| iloveyou vs Raven | 14–10 | 58.33% |
| iloveyou vs Lidia | 5–17 | 22.73% |
| iloveyou vs Panda | 3–12 | 20.00% |
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.