| Devsaki vs Kazuya | 186–183 | 50.41% |
| Devsaki vs Bryan | 191–152 | 55.69% |
| Devsaki vs Jin | 165–155 | 51.56% |
| Devsaki vs Reina | 127–124 | 50.60% |
| Devsaki vs King | 141–102 | 58.02% |
| Devsaki vs Lili | 124–111 | 52.77% |
| Devsaki vs Hwoarang | 99–133 | 42.67% |
| Devsaki vs Eddy | 93–104 | 47.21% |
| Devsaki vs Paul | 89–105 | 45.88% |
| Devsaki vs Dragunov | 82–112 | 42.27% |
| Devsaki vs Jun | 88–105 | 45.60% |
| Devsaki vs Law | 81–93 | 46.55% |
| Devsaki vs Yoshimitsu | 91–82 | 52.60% |
| Devsaki vs Steve | 84–78 | 51.85% |
| Devsaki vs Asuka | 60–83 | 41.96% |
| Devsaki vs Alisa | 73–70 | 51.05% |
| Devsaki vs Nina | 74–63 | 54.01% |
| Devsaki vs Lee | 67–65 | 50.76% |
| Devsaki vs Feng | 57–73 | 43.85% |
| Devsaki vs Devil Jin | 62–61 | 50.41% |
| Devsaki vs Azucena | 48–62 | 43.64% |
| Devsaki vs Heihachi | 45–61 | 42.45% |
| Devsaki vs Lidia | 45–56 | 44.55% |
| Devsaki vs Victor | 55–44 | 55.56% |
| Devsaki vs Leroy | 44–53 | 45.36% |
| Devsaki vs Lars | 33–54–1 | 37.93% |
| Devsaki vs Xiaoyu | 44–41 | 51.76% |
| Devsaki vs Leo | 32–52 | 38.10% |
| Devsaki vs Jack-8 | 32–46 | 41.03% |
| Devsaki vs Zafina | 34–44 | 43.59% |
| Devsaki vs Kuma | 27–37 | 42.19% |
| Devsaki vs Claudio | 25–38 | 39.68% |
| Devsaki vs Shaheen | 36–24 | 60.00% |
| Devsaki vs Raven | 25–31 | 44.64% |
| Devsaki vs Panda | 13–18 | 41.94% |
| Devsaki vs Armor King | 10–10 | 50.00% |
| Devsaki vs Fahkumram | 11–6 | 64.71% |
| Devsaki vs Clive | 7–8 | 46.67% |
| Devsaki vs Anna | 4–5 | 44.44% |
| Devsaki vs Miary Zo | 2–4 | 33.33% |
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.