| @coocked0_0 vs Heihachi | 69–75 | 47.92% |
| @coocked0_0 vs Kazuya | 50–55 | 47.62% |
| @coocked0_0 vs King | 38–54 | 41.30% |
| @coocked0_0 vs Reina | 53–33 | 61.63% |
| @coocked0_0 vs Law | 30–48 | 38.46% |
| @coocked0_0 vs Hwoarang | 30–48 | 38.46% |
| @coocked0_0 vs Lidia | 33–37 | 47.14% |
| @coocked0_0 vs Jin | 33–28 | 54.10% |
| @coocked0_0 vs Bryan | 19–38 | 33.33% |
| @coocked0_0 vs Steve | 16–40 | 28.57% |
| @coocked0_0 vs Paul | 22–27 | 44.90% |
| @coocked0_0 vs Jun | 19–30 | 38.78% |
| @coocked0_0 vs Nina | 22–22 | 50.00% |
| @coocked0_0 vs Dragunov | 13–30 | 30.23% |
| @coocked0_0 vs Asuka | 20–20 | 50.00% |
| @coocked0_0 vs Yoshimitsu | 26–11 | 70.27% |
| @coocked0_0 vs Lili | 10–27 | 27.03% |
| @coocked0_0 vs Azucena | 14–18 | 43.75% |
| @coocked0_0 vs Xiaoyu | 17–14 | 54.84% |
| @coocked0_0 vs Lars | 12–19 | 38.71% |
| @coocked0_0 vs Eddy | 11–20 | 35.48% |
| @coocked0_0 vs Lee | 7–21 | 25.00% |
| @coocked0_0 vs Devil Jin | 16–10 | 61.54% |
| @coocked0_0 vs Victor | 9–16 | 36.00% |
| @coocked0_0 vs Leo | 11–13 | 45.83% |
| @coocked0_0 vs Jack-8 | 12–11 | 52.17% |
| @coocked0_0 vs Raven | 11–12 | 47.83% |
| @coocked0_0 vs Claudio | 6–14 | 30.00% |
| @coocked0_0 vs Kuma | 9–11 | 45.00% |
| @coocked0_0 vs Alisa | 8–9 | 47.06% |
| @coocked0_0 vs Feng | 5–11 | 31.25% |
| @coocked0_0 vs Leroy | 9–7 | 56.25% |
| @coocked0_0 vs Shaheen | 5–5 | 50.00% |
| @coocked0_0 vs Zafina | 2–4 | 33.33% |
| @coocked0_0 vs Clive | 0–4 | 0.00% |
| @coocked0_0 vs Panda | 2–0 | 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.