| Dracahla vs King | 48–51 | 48.48% |
| Dracahla vs Steve | 64–29 | 68.82% |
| Dracahla vs Heihachi | 49–41 | 54.44% |
| Dracahla vs Hwoarang | 39–38 | 50.65% |
| Dracahla vs Kazuya | 36–41 | 46.75% |
| Dracahla vs Jin | 41–33 | 55.41% |
| Dracahla vs Clive | 36–38 | 48.65% |
| Dracahla vs Law | 44–29 | 60.27% |
| Dracahla vs Lidia | 43–20 | 68.25% |
| Dracahla vs Jun | 35–26 | 57.38% |
| Dracahla vs Fahkumram | 24–37 | 39.34% |
| Dracahla vs Reina | 31–29 | 51.67% |
| Dracahla vs Asuka | 23–29 | 44.23% |
| Dracahla vs Lili | 29–20 | 59.18% |
| Dracahla vs Bryan | 22–22 | 50.00% |
| Dracahla vs Lars | 26–16 | 61.90% |
| Dracahla vs Paul | 22–17 | 56.41% |
| Dracahla vs Dragunov | 15–23 | 39.47% |
| Dracahla vs Yoshimitsu | 21–13 | 61.76% |
| Dracahla vs Eddy | 22–12 | 64.71% |
| Dracahla vs Lee | 17–14 | 54.84% |
| Dracahla vs Kuma | 16–15 | 51.61% |
| Dracahla vs Azucena | 14–16 | 46.67% |
| Dracahla vs Xiaoyu | 8–19 | 29.63% |
| Dracahla vs Nina | 12–15 | 44.44% |
| Dracahla vs Jack-8 | 16–10 | 61.54% |
| Dracahla vs Devil Jin | 15–10 | 60.00% |
| Dracahla vs Feng | 11–12 | 47.83% |
| Dracahla vs Anna | 13–9 | 59.09% |
| Dracahla vs Leo | 10–9 | 52.63% |
| Dracahla vs Alisa | 13–6 | 68.42% |
| Dracahla vs Leroy | 14–4 | 77.78% |
| Dracahla vs Armor King | 12–5 | 70.59% |
| Dracahla vs Raven | 8–6 | 57.14% |
| Dracahla vs Victor | 10–3 | 76.92% |
| Dracahla vs Miary Zo | 3–7 | 30.00% |
| Dracahla vs Claudio | 5–3 | 62.50% |
| Dracahla vs Shaheen | 2–5 | 28.57% |
| Dracahla vs Panda | 5–2 | 71.43% |
| Dracahla vs Zafina | 4–1 | 80.00% |
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.