| dorason vs Kazuya | 152–258 | 37.07% |
| dorason vs King | 172–199 | 46.36% |
| dorason vs Reina | 150–179–1 | 45.59% |
| dorason vs Paul | 133–175 | 43.18% |
| dorason vs Jin | 121–170 | 41.58% |
| dorason vs Bryan | 114–173 | 39.72% |
| dorason vs Dragunov | 69–187 | 26.95% |
| dorason vs Asuka | 93–141 | 39.74% |
| dorason vs Lili | 78–134 | 36.79% |
| dorason vs Steve | 72–126 | 36.36% |
| dorason vs Armor King | 81–115 | 41.33% |
| dorason vs Hwoarang | 64–122 | 34.41% |
| dorason vs Yoshimitsu | 72–100 | 41.86% |
| dorason vs Heihachi | 76–95 | 44.44% |
| dorason vs Lidia | 67–96 | 41.10% |
| dorason vs Law | 54–107 | 33.54% |
| dorason vs Xiaoyu | 63–88 | 41.72% |
| dorason vs Victor | 63–88 | 41.72% |
| dorason vs Jun | 57–87 | 39.58% |
| dorason vs Lars | 55–71 | 43.65% |
| dorason vs Devil Jin | 51–71 | 41.80% |
| dorason vs Leo | 36–77 | 31.86% |
| dorason vs Nina | 39–64 | 37.86% |
| dorason vs Azucena | 33–64 | 34.02% |
| dorason vs Claudio | 36–60 | 37.50% |
| dorason vs Miary Zo | 47–43 | 52.22% |
| dorason vs Fahkumram | 29–52 | 35.80% |
| dorason vs Leroy | 27–51 | 34.62% |
| dorason vs Lee | 25–52 | 32.47% |
| dorason vs Clive | 25–52 | 32.47% |
| dorason vs Eddy | 29–45 | 39.19% |
| dorason vs Alisa | 25–45 | 35.71% |
| dorason vs Jack-8 | 38–30 | 55.88% |
| dorason vs Feng | 17–44 | 27.87% |
| dorason vs Raven | 18–37 | 32.73% |
| dorason vs Kuma | 23–27 | 46.00% |
| dorason vs Anna | 18–29 | 38.30% |
| dorason vs Zafina | 21–22 | 48.84% |
| dorason vs Shaheen | 16–22 | 42.11% |
| dorason vs Panda | 15–20 | 42.86% |
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.