| darkulr vs King | 156–236 | 39.80% |
| darkulr vs Jin | 160–220 | 42.11% |
| darkulr vs Kazuya | 162–203 | 44.38% |
| darkulr vs Reina | 180–166 | 52.02% |
| darkulr vs Heihachi | 116–171 | 40.42% |
| darkulr vs Clive | 131–144–1 | 47.64% |
| darkulr vs Steve | 135–139 | 49.27% |
| darkulr vs Bryan | 120–150 | 44.44% |
| darkulr vs Dragunov | 91–121 | 42.92% |
| darkulr vs Law | 76–129 | 37.07% |
| darkulr vs Hwoarang | 86–113 | 43.22% |
| darkulr vs Eddy | 82–91 | 47.40% |
| darkulr vs Asuka | 77–90 | 46.11% |
| darkulr vs Paul | 71–92 | 43.56% |
| darkulr vs Jun | 83–73 | 53.21% |
| darkulr vs Azucena | 71–82 | 46.41% |
| darkulr vs Lili | 69–77 | 47.26% |
| darkulr vs Lee | 73–70 | 51.05% |
| darkulr vs Lars | 59–80 | 42.45% |
| darkulr vs Anna | 61–75 | 44.85% |
| darkulr vs Devil Jin | 54–77 | 41.22% |
| darkulr vs Yoshimitsu | 49–78 | 38.58% |
| darkulr vs Lidia | 44–80 | 35.48% |
| darkulr vs Nina | 52–68 | 43.33% |
| darkulr vs Armor King | 42–68 | 38.18% |
| darkulr vs Leroy | 43–61 | 41.35% |
| darkulr vs Victor | 48–54 | 47.06% |
| darkulr vs Jack-8 | 48–47 | 50.53% |
| darkulr vs Fahkumram | 34–61 | 35.79% |
| darkulr vs Feng | 37–57 | 39.36% |
| darkulr vs Alisa | 40–50 | 44.44% |
| darkulr vs Xiaoyu | 39–49 | 44.32% |
| darkulr vs Leo | 30–50 | 37.50% |
| darkulr vs Claudio | 23–49 | 31.94% |
| darkulr vs Miary Zo | 31–38 | 44.93% |
| darkulr vs Raven | 21–45 | 31.82% |
| darkulr vs Shaheen | 29–21 | 58.00% |
| darkulr vs Zafina | 23–27 | 46.00% |
| darkulr vs Kuma | 15–25 | 37.50% |
| darkulr vs Panda | 10–12 | 45.45% |
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.