| DTK-Ctlmd vs Hwoarang | 250–261 | 48.92% |
| DTK-Ctlmd vs King | 227–204 | 52.67% |
| DTK-Ctlmd vs Dragunov | 162–192 | 45.76% |
| DTK-Ctlmd vs Jin | 183–149 | 55.12% |
| DTK-Ctlmd vs Paul | 181–150 | 54.68% |
| DTK-Ctlmd vs Bryan | 156–151 | 50.81% |
| DTK-Ctlmd vs Jack-8 | 142–152 | 48.30% |
| DTK-Ctlmd vs Kazuya | 163–126 | 56.40% |
| DTK-Ctlmd vs Law | 144–144 | 50.00% |
| DTK-Ctlmd vs Yoshimitsu | 143–142 | 50.18% |
| DTK-Ctlmd vs Asuka | 174–109 | 61.48% |
| DTK-Ctlmd vs Steve | 133–141 | 48.54% |
| DTK-Ctlmd vs Lili | 143–124 | 53.56% |
| DTK-Ctlmd vs Fahkumram | 126–126 | 50.00% |
| DTK-Ctlmd vs Lars | 113–120 | 48.50% |
| DTK-Ctlmd vs Armor King | 108–117 | 48.00% |
| DTK-Ctlmd vs Feng | 124–99 | 55.61% |
| DTK-Ctlmd vs Xiaoyu | 112–105 | 51.61% |
| DTK-Ctlmd vs Jun | 115–102 | 53.00% |
| DTK-Ctlmd vs Raven | 102–112 | 47.66% |
| DTK-Ctlmd vs Victor | 94–118 | 44.34% |
| DTK-Ctlmd vs Alisa | 94–108 | 46.53% |
| DTK-Ctlmd vs Eddy | 76–118 | 39.18% |
| DTK-Ctlmd vs Reina | 97–96 | 50.26% |
| DTK-Ctlmd vs Leroy | 71–120 | 37.17% |
| DTK-Ctlmd vs Azucena | 92–93 | 49.73% |
| DTK-Ctlmd vs Clive | 74–105 | 41.34% |
| DTK-Ctlmd vs Anna | 99–79 | 55.62% |
| DTK-Ctlmd vs Devil Jin | 79–98 | 44.63% |
| DTK-Ctlmd vs Lee | 62–112 | 35.63% |
| DTK-Ctlmd vs Leo | 86–81 | 51.50% |
| DTK-Ctlmd vs Heihachi | 90–76 | 54.22% |
| DTK-Ctlmd vs Lidia | 85–80 | 51.52% |
| DTK-Ctlmd vs Nina | 83–78 | 51.55% |
| DTK-Ctlmd vs Kuma | 64–93 | 40.76% |
| DTK-Ctlmd vs Claudio | 69–87 | 44.23% |
| DTK-Ctlmd vs Zafina | 71–73 | 49.31% |
| DTK-Ctlmd vs Shaheen | 42–50 | 45.65% |
| DTK-Ctlmd vs Panda | 26–25 | 50.98% |
| DTK-Ctlmd vs Miary Zo | 17–22 | 43.59% |
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.