Mardly_Dingdidi vs Paul | 102–132 | 43.59% |
Mardly_Dingdidi vs Reina | 99–114 | 46.48% |
Mardly_Dingdidi vs Kazuya | 109–98 | 52.66% |
Mardly_Dingdidi vs King | 79–111 | 41.58% |
Mardly_Dingdidi vs Dragunov | 69–112 | 38.12% |
Mardly_Dingdidi vs Hwoarang | 73–82 | 47.10% |
Mardly_Dingdidi vs Bryan | 58–94 | 38.16% |
Mardly_Dingdidi vs Asuka | 77–70 | 52.38% |
Mardly_Dingdidi vs Jin | 67–73 | 47.86% |
Mardly_Dingdidi vs Lili | 62–71 | 46.62% |
Mardly_Dingdidi vs Steve | 44–79 | 35.77% |
Mardly_Dingdidi vs Azucena | 41–77 | 34.75% |
Mardly_Dingdidi vs Victor | 57–61 | 48.31% |
Mardly_Dingdidi vs Lidia | 50–52 | 49.02% |
Mardly_Dingdidi vs Yoshimitsu | 45–52 | 46.39% |
Mardly_Dingdidi vs Alisa | 53–44 | 54.64% |
Mardly_Dingdidi vs Law | 48–42 | 53.33% |
Mardly_Dingdidi vs Jun | 38–48 | 44.19% |
Mardly_Dingdidi vs Feng | 23–52 | 30.67% |
Mardly_Dingdidi vs Nina | 27–47 | 36.49% |
Mardly_Dingdidi vs Xiaoyu | 26–45 | 36.62% |
Mardly_Dingdidi vs Devil Jin | 26–43 | 37.68% |
Mardly_Dingdidi vs Lars | 31–37 | 45.59% |
Mardly_Dingdidi vs Jack-8 | 33–31 | 51.56% |
Mardly_Dingdidi vs Leroy | 33–25 | 56.90% |
Mardly_Dingdidi vs Lee | 32–25 | 56.14% |
Mardly_Dingdidi vs Shaheen | 23–30 | 43.40% |
Mardly_Dingdidi vs Kuma | 18–32 | 36.00% |
Mardly_Dingdidi vs Eddy | 20–29 | 40.82% |
Mardly_Dingdidi vs Claudio | 18–26 | 40.91% |
Mardly_Dingdidi vs Raven | 13–21 | 38.24% |
Mardly_Dingdidi vs Leo | 13–19 | 40.62% |
Mardly_Dingdidi vs Zafina | 8–19 | 29.63% |
Mardly_Dingdidi vs Heihachi | 9–14 | 39.13% |
Mardly_Dingdidi vs Panda | 9–13 | 40.91% |
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.