| DeViLAkar vs Jin | 172–173 | 49.86% |
| DeViLAkar vs King | 107–162 | 39.78% |
| DeViLAkar vs Kazuya | 132–102 | 56.41% |
| DeViLAkar vs Bryan | 84–133 | 38.71% |
| DeViLAkar vs Law | 90–124 | 42.06% |
| DeViLAkar vs Dragunov | 77–111 | 40.96% |
| DeViLAkar vs Steve | 89–93 | 48.90% |
| DeViLAkar vs Hwoarang | 60–96 | 38.46% |
| DeViLAkar vs Heihachi | 63–90 | 41.18% |
| DeViLAkar vs Paul | 41–99 | 29.29% |
| DeViLAkar vs Armor King | 38–85 | 30.89% |
| DeViLAkar vs Victor | 54–53 | 50.47% |
| DeViLAkar vs Lars | 39–60 | 39.39% |
| DeViLAkar vs Reina | 35–61 | 36.46% |
| DeViLAkar vs Alisa | 30–65 | 31.58% |
| DeViLAkar vs Eddy | 29–66 | 30.53% |
| DeViLAkar vs Devil Jin | 42–50 | 45.65% |
| DeViLAkar vs Yoshimitsu | 36–52 | 40.91% |
| DeViLAkar vs Lee | 30–56 | 34.88% |
| DeViLAkar vs Nina | 46–34 | 57.50% |
| DeViLAkar vs Clive | 30–48–1 | 38.46% |
| DeViLAkar vs Fahkumram | 22–56–1 | 28.21% |
| DeViLAkar vs Jun | 32–45 | 41.56% |
| DeViLAkar vs Asuka | 32–39 | 45.07% |
| DeViLAkar vs Anna | 34–37 | 47.89% |
| DeViLAkar vs Azucena | 33–36 | 47.83% |
| DeViLAkar vs Feng | 20–45 | 30.77% |
| DeViLAkar vs Lili | 25–33 | 43.10% |
| DeViLAkar vs Miary Zo | 26–22 | 54.17% |
| DeViLAkar vs Lidia | 24–23 | 51.06% |
| DeViLAkar vs Leo | 21–25 | 45.65% |
| DeViLAkar vs Claudio | 14–32 | 30.43% |
| DeViLAkar vs Xiaoyu | 21–22 | 48.84% |
| DeViLAkar vs Jack-8 | 17–24 | 41.46% |
| DeViLAkar vs Zafina | 19–16 | 54.29% |
| DeViLAkar vs Raven | 12–17 | 41.38% |
| DeViLAkar vs Leroy | 13–15 | 46.43% |
| DeViLAkar vs Shaheen | 10–9 | 52.63% |
| DeViLAkar vs Kuma | 1–8 | 11.11% |
| DeViLAkar vs Panda | 3–5 | 37.50% |
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.