| xWHAT A DRAGx vs Steve | 22–9 | 70.97% |
| xWHAT A DRAGx vs Reina | 18–13 | 58.06% |
| xWHAT A DRAGx vs King | 18–9 | 66.67% |
| xWHAT A DRAGx vs Kazuya | 12–13 | 48.00% |
| xWHAT A DRAGx vs Heihachi | 7–14 | 33.33% |
| xWHAT A DRAGx vs Jin | 11–7 | 61.11% |
| xWHAT A DRAGx vs Bryan | 12–6 | 66.67% |
| xWHAT A DRAGx vs Hwoarang | 12–5 | 70.59% |
| xWHAT A DRAGx vs Clive | 8–7 | 53.33% |
| xWHAT A DRAGx vs Law | 6–7 | 46.15% |
| xWHAT A DRAGx vs Lili | 8–5 | 61.54% |
| xWHAT A DRAGx vs Lars | 5–8 | 38.46% |
| xWHAT A DRAGx vs Lee | 8–4 | 66.67% |
| xWHAT A DRAGx vs Dragunov | 11–0 | 100.00% |
| xWHAT A DRAGx vs Leroy | 4–7 | 36.36% |
| xWHAT A DRAGx vs Victor | 7–4 | 63.64% |
| xWHAT A DRAGx vs Xiaoyu | 2–8 | 20.00% |
| xWHAT A DRAGx vs Leo | 5–4 | 55.56% |
| xWHAT A DRAGx vs Raven | 7–2 | 77.78% |
| xWHAT A DRAGx vs Paul | 6–1 | 85.71% |
| xWHAT A DRAGx vs Armor King | 4–3 | 57.14% |
| xWHAT A DRAGx vs Jun | 6–0 | 100.00% |
| xWHAT A DRAGx vs Azucena | 4–2 | 66.67% |
| xWHAT A DRAGx vs Eddy | 2–4 | 33.33% |
| xWHAT A DRAGx vs Alisa | 4–1 | 80.00% |
| xWHAT A DRAGx vs Miary Zo | 2–3 | 40.00% |
| xWHAT A DRAGx vs Yoshimitsu | 2–2 | 50.00% |
| xWHAT A DRAGx vs Asuka | 4–0 | 100.00% |
| xWHAT A DRAGx vs Feng | 4–0 | 100.00% |
| xWHAT A DRAGx vs Lidia | 4–0 | 100.00% |
| xWHAT A DRAGx vs Fahkumram | 3–1 | 75.00% |
| xWHAT A DRAGx vs Jack-8 | 3–0 | 100.00% |
| xWHAT A DRAGx vs Devil Jin | 1–2 | 33.33% |
| xWHAT A DRAGx vs Shaheen | 2–1 | 66.67% |
| xWHAT A DRAGx vs Kuma | 0–3 | 0.00% |
| xWHAT A DRAGx vs Zafina | 2–1 | 66.67% |
| xWHAT A DRAGx vs Nina | 2–0 | 100.00% |
| xWHAT A DRAGx vs Anna | 0–2 | 0.00% |
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.