| dv3xr vs Kazuya | 16–18 | 47.06% |
| dv3xr vs Jin | 11–21 | 34.38% |
| dv3xr vs Bryan | 10–11 | 47.62% |
| dv3xr vs Dragunov | 17–4 | 80.95% |
| dv3xr vs Law | 8–11 | 42.11% |
| dv3xr vs King | 12–7 | 63.16% |
| dv3xr vs Hwoarang | 13–5 | 72.22% |
| dv3xr vs Lili | 11–6 | 64.71% |
| dv3xr vs Reina | 11–6 | 64.71% |
| dv3xr vs Heihachi | 7–10 | 41.18% |
| dv3xr vs Devil Jin | 10–5 | 66.67% |
| dv3xr vs Steve | 10–4 | 71.43% |
| dv3xr vs Fahkumram | 9–5 | 64.29% |
| dv3xr vs Leo | 6–6 | 50.00% |
| dv3xr vs Raven | 8–4 | 66.67% |
| dv3xr vs Eddy | 4–7 | 36.36% |
| dv3xr vs Yoshimitsu | 4–5 | 44.44% |
| dv3xr vs Lars | 5–4 | 55.56% |
| dv3xr vs Lee | 7–2 | 77.78% |
| dv3xr vs Jun | 4–5 | 44.44% |
| dv3xr vs Claudio | 6–2 | 75.00% |
| dv3xr vs Asuka | 5–2 | 71.43% |
| dv3xr vs Alisa | 6–1 | 85.71% |
| dv3xr vs Leroy | 6–1 | 85.71% |
| dv3xr vs Azucena | 1–6 | 14.29% |
| dv3xr vs Lidia | 5–2 | 71.43% |
| dv3xr vs Anna | 6–1 | 85.71% |
| dv3xr vs Clive | 1–4 | 20.00% |
| dv3xr vs Armor King | 4–1 | 80.00% |
| dv3xr vs Paul | 2–2 | 50.00% |
| dv3xr vs Feng | 0–4 | 0.00% |
| dv3xr vs Shaheen | 2–2 | 50.00% |
| dv3xr vs Kuma | 2–1 | 66.67% |
| dv3xr vs Victor | 2–1 | 66.67% |
| dv3xr vs Miary Zo | 1–2 | 33.33% |
| dv3xr vs Xiaoyu | 0–2 | 0.00% |
| dv3xr vs Nina | 2–0 | 100.00% |
| dv3xr vs Panda | 2–0 | 100.00% |
| dv3xr vs Zafina | 1–0 | 100.00% |
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.