| sorryifmalag vs Dragunov | 98–97 | 50.26% |
| sorryifmalag vs Bryan | 100–81 | 55.25% |
| sorryifmalag vs King | 87–93 | 48.33% |
| sorryifmalag vs Jin | 91–85 | 51.70% |
| sorryifmalag vs Kazuya | 92–73 | 55.76% |
| sorryifmalag vs Hwoarang | 82–82 | 50.00% |
| sorryifmalag vs Reina | 74–74 | 50.00% |
| sorryifmalag vs Steve | 54–77 | 41.22% |
| sorryifmalag vs Heihachi | 71–60 | 54.20% |
| sorryifmalag vs Paul | 73–55 | 57.03% |
| sorryifmalag vs Yoshimitsu | 56–50–1 | 52.83% |
| sorryifmalag vs Victor | 65–42 | 60.75% |
| sorryifmalag vs Lars | 55–43 | 56.12% |
| sorryifmalag vs Law | 45–52 | 46.39% |
| sorryifmalag vs Feng | 39–52 | 42.86% |
| sorryifmalag vs Lili | 36–53 | 40.45% |
| sorryifmalag vs Asuka | 47–38 | 55.29% |
| sorryifmalag vs Jun | 47–38 | 55.29% |
| sorryifmalag vs Devil Jin | 43–41 | 51.19% |
| sorryifmalag vs Nina | 29–47 | 38.16% |
| sorryifmalag vs Alisa | 46–29 | 61.33% |
| sorryifmalag vs Leroy | 34–31 | 52.31% |
| sorryifmalag vs Leo | 24–29 | 45.28% |
| sorryifmalag vs Lee | 27–26 | 50.94% |
| sorryifmalag vs Claudio | 25–19 | 56.82% |
| sorryifmalag vs Shaheen | 21–21 | 50.00% |
| sorryifmalag vs Lidia | 23–19 | 54.76% |
| sorryifmalag vs Azucena | 25–16 | 60.98% |
| sorryifmalag vs Eddy | 21–20 | 51.22% |
| sorryifmalag vs Zafina | 19–19 | 50.00% |
| sorryifmalag vs Xiaoyu | 17–19 | 47.22% |
| sorryifmalag vs Raven | 18–16 | 52.94% |
| sorryifmalag vs Jack-8 | 13–19 | 40.62% |
| sorryifmalag vs Kuma | 14–15 | 48.28% |
| sorryifmalag vs Clive | 8–11 | 42.11% |
| sorryifmalag vs Panda | 9–7 | 56.25% |
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.