| 0_doll vs King | 29–12 | 70.73% |
| 0_doll vs Asuka | 16–17 | 48.48% |
| 0_doll vs Heihachi | 19–9 | 67.86% |
| 0_doll vs Jin | 21–6 | 77.78% |
| 0_doll vs Dragunov | 20–7 | 74.07% |
| 0_doll vs Paul | 16–9 | 64.00% |
| 0_doll vs Victor | 13–11 | 54.17% |
| 0_doll vs Lili | 14–9 | 60.87% |
| 0_doll vs Miary Zo | 12–11 | 52.17% |
| 0_doll vs Reina | 13–7 | 65.00% |
| 0_doll vs Bryan | 7–11 | 38.89% |
| 0_doll vs Yoshimitsu | 10–7 | 58.82% |
| 0_doll vs Kazuya | 11–6 | 64.71% |
| 0_doll vs Jack-8 | 8–8 | 50.00% |
| 0_doll vs Nina | 12–4 | 75.00% |
| 0_doll vs Law | 5–8 | 38.46% |
| 0_doll vs Hwoarang | 9–2 | 81.82% |
| 0_doll vs Jun | 6–5 | 54.55% |
| 0_doll vs Leroy | 8–2 | 80.00% |
| 0_doll vs Raven | 2–7 | 22.22% |
| 0_doll vs Clive | 4–5 | 44.44% |
| 0_doll vs Claudio | 3–5 | 37.50% |
| 0_doll vs Alisa | 4–3 | 57.14% |
| 0_doll vs Lee | 4–3 | 57.14% |
| 0_doll vs Armor King | 5–2 | 71.43% |
| 0_doll vs Feng | 4–2 | 66.67% |
| 0_doll vs Steve | 3–2 | 60.00% |
| 0_doll vs Devil Jin | 3–2 | 60.00% |
| 0_doll vs Shaheen | 1–4 | 20.00% |
| 0_doll vs Kuma | 2–3 | 40.00% |
| 0_doll vs Zafina | 3–2 | 60.00% |
| 0_doll vs Lidia | 4–1 | 80.00% |
| 0_doll vs Leo | 2–2 | 50.00% |
| 0_doll vs Lars | 3–1 | 75.00% |
| 0_doll vs Azucena | 2–1 | 66.67% |
| 0_doll vs Eddy | 3–0 | 100.00% |
| 0_doll vs Fahkumram | 1–2 | 33.33% |
| 0_doll vs Xiaoyu | 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.