| d_r_v vs Jin | 47–63 | 42.73% |
| d_r_v vs Kazuya | 55–44 | 55.56% |
| d_r_v vs Bryan | 30–53 | 36.14% |
| d_r_v vs Reina | 37–46 | 44.58% |
| d_r_v vs King | 35–39 | 47.30% |
| d_r_v vs Hwoarang | 34–37 | 47.89% |
| d_r_v vs Dragunov | 26–28 | 48.15% |
| d_r_v vs Steve | 29–19 | 60.42% |
| d_r_v vs Law | 19–28 | 40.43% |
| d_r_v vs Lili | 20–22 | 47.62% |
| d_r_v vs Eddy | 12–29 | 29.27% |
| d_r_v vs Paul | 13–27 | 32.50% |
| d_r_v vs Azucena | 16–24 | 40.00% |
| d_r_v vs Yoshimitsu | 16–23 | 41.03% |
| d_r_v vs Jun | 21–17 | 55.26% |
| d_r_v vs Devil Jin | 11–25 | 30.56% |
| d_r_v vs Xiaoyu | 13–21 | 38.24% |
| d_r_v vs Heihachi | 12–22 | 35.29% |
| d_r_v vs Asuka | 15–17 | 46.88% |
| d_r_v vs Victor | 13–19 | 40.62% |
| d_r_v vs Feng | 17–11 | 60.71% |
| d_r_v vs Lee | 14–13 | 51.85% |
| d_r_v vs Nina | 11–13 | 45.83% |
| d_r_v vs Alisa | 6–11 | 35.29% |
| d_r_v vs Lidia | 11–6 | 64.71% |
| d_r_v vs Claudio | 5–11 | 31.25% |
| d_r_v vs Anna | 9–6 | 60.00% |
| d_r_v vs Leroy | 8–6 | 57.14% |
| d_r_v vs Leo | 5–8 | 38.46% |
| d_r_v vs Fahkumram | 4–9 | 30.77% |
| d_r_v vs Zafina | 5–7 | 41.67% |
| d_r_v vs Jack-8 | 2–8 | 20.00% |
| d_r_v vs Lars | 2–8 | 20.00% |
| d_r_v vs Shaheen | 5–5 | 50.00% |
| d_r_v vs Raven | 1–8 | 11.11% |
| d_r_v vs Clive | 5–4 | 55.56% |
| d_r_v vs Kuma | 1–4 | 20.00% |
| d_r_v vs Panda | 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.