| Darinda vs King | 245–264 | 48.13% |
| Darinda vs Kazuya | 264–215 | 55.11% |
| Darinda vs Law | 263–194 | 57.55% |
| Darinda vs Dragunov | 201–222 | 47.52% |
| Darinda vs Bryan | 229–188 | 54.92% |
| Darinda vs Jin | 186–189 | 49.60% |
| Darinda vs Hwoarang | 112–172 | 39.44% |
| Darinda vs Paul | 146–96 | 60.33% |
| Darinda vs Lars | 89–124 | 41.78% |
| Darinda vs Feng | 99–104 | 48.77% |
| Darinda vs Steve | 83–112 | 42.56% |
| Darinda vs Alisa | 88–106 | 45.36% |
| Darinda vs Heihachi | 90–98 | 47.87% |
| Darinda vs Claudio | 97–83 | 53.89% |
| Darinda vs Lili | 53–120 | 30.64% |
| Darinda vs Anna | 76–91 | 45.51% |
| Darinda vs Armor King | 81–84 | 49.09% |
| Darinda vs Nina | 90–72 | 55.56% |
| Darinda vs Yoshimitsu | 76–82 | 48.10% |
| Darinda vs Devil Jin | 67–90 | 42.68% |
| Darinda vs Eddy | 72–77 | 48.32% |
| Darinda vs Lee | 65–72 | 47.45% |
| Darinda vs Jun | 70–66 | 51.47% |
| Darinda vs Victor | 69–61 | 53.08% |
| Darinda vs Reina | 65–61 | 51.59% |
| Darinda vs Clive | 50–74 | 40.32% |
| Darinda vs Fahkumram | 30–85 | 26.09% |
| Darinda vs Xiaoyu | 49–64 | 43.36% |
| Darinda vs Jack-8 | 49–55 | 47.12% |
| Darinda vs Miary Zo | 41–45 | 47.67% |
| Darinda vs Zafina | 37–46 | 44.58% |
| Darinda vs Asuka | 24–57 | 29.63% |
| Darinda vs Azucena | 38–39 | 49.35% |
| Darinda vs Leroy | 24–26 | 48.00% |
| Darinda vs Leo | 14–33 | 29.79% |
| Darinda vs Kuma | 18–29 | 38.30% |
| Darinda vs Lidia | 19–26 | 42.22% |
| Darinda vs Shaheen | 18–23 | 43.90% |
| Darinda vs Raven | 11–24 | 31.43% |
| Darinda vs Panda | 5–13 | 27.78% |
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.