| dhamma vs Dragunov | 71–101 | 41.28% |
| dhamma vs Jin | 71–98 | 42.01% |
| dhamma vs Paul | 77–80 | 49.04% |
| dhamma vs Kazuya | 55–99 | 35.71% |
| dhamma vs Heihachi | 69–80 | 46.31% |
| dhamma vs Lili | 69–69 | 50.00% |
| dhamma vs Armor King | 56–81 | 40.88% |
| dhamma vs Asuka | 69–66 | 51.11% |
| dhamma vs Hwoarang | 51–79 | 39.23% |
| dhamma vs King | 61–63 | 49.19% |
| dhamma vs Reina | 53–68 | 43.80% |
| dhamma vs Steve | 44–71 | 38.26% |
| dhamma vs Victor | 50–61 | 45.05% |
| dhamma vs Bryan | 55–52 | 51.40% |
| dhamma vs Jun | 51–53 | 49.04% |
| dhamma vs Law | 33–69 | 32.35% |
| dhamma vs Azucena | 41–45 | 47.67% |
| dhamma vs Alisa | 25–49 | 33.78% |
| dhamma vs Miary Zo | 20–51 | 28.17% |
| dhamma vs Yoshimitsu | 31–36 | 46.27% |
| dhamma vs Eddy | 31–35 | 46.97% |
| dhamma vs Xiaoyu | 32–32 | 50.00% |
| dhamma vs Nina | 26–32 | 44.83% |
| dhamma vs Claudio | 22–35 | 38.60% |
| dhamma vs Devil Jin | 21–33 | 38.89% |
| dhamma vs Leo | 23–29 | 44.23% |
| dhamma vs Feng | 15–36 | 29.41% |
| dhamma vs Lee | 21–30 | 41.18% |
| dhamma vs Lidia | 20–27 | 42.55% |
| dhamma vs Leroy | 22–23 | 48.89% |
| dhamma vs Jack-8 | 12–26 | 31.58% |
| dhamma vs Kuma | 12–24 | 33.33% |
| dhamma vs Lars | 18–16 | 52.94% |
| dhamma vs Zafina | 17–12 | 58.62% |
| dhamma vs Fahkumram | 15–14 | 51.72% |
| dhamma vs Raven | 14–13 | 51.85% |
| dhamma vs Anna | 9–13 | 40.91% |
| dhamma vs Clive | 7–11 | 38.89% |
| dhamma vs Shaheen | 9–7 | 56.25% |
| dhamma vs Panda | 6–8 | 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.