| cbduckets vs King | 108–121 | 47.16% |
| cbduckets vs Law | 124–90 | 57.94% |
| cbduckets vs Jin | 85–106 | 44.50% |
| cbduckets vs Bryan | 80–103 | 43.72% |
| cbduckets vs Kazuya | 108–75 | 59.02% |
| cbduckets vs Steve | 90–93 | 49.18% |
| cbduckets vs Hwoarang | 107–73 | 59.44% |
| cbduckets vs Lars | 72–95 | 43.11% |
| cbduckets vs Heihachi | 97–62 | 61.01% |
| cbduckets vs Reina | 82–75 | 52.23% |
| cbduckets vs Dragunov | 74–62 | 54.41% |
| cbduckets vs Paul | 66–60 | 52.38% |
| cbduckets vs Yoshimitsu | 63–61 | 50.81% |
| cbduckets vs Azucena | 57–61 | 48.31% |
| cbduckets vs Feng | 62–55 | 52.99% |
| cbduckets vs Jun | 64–53 | 54.70% |
| cbduckets vs Lili | 47–65 | 41.96% |
| cbduckets vs Lee | 53–57 | 48.18% |
| cbduckets vs Xiaoyu | 54–53 | 50.47% |
| cbduckets vs Eddy | 58–49 | 54.21% |
| cbduckets vs Victor | 50–47 | 51.55% |
| cbduckets vs Nina | 46–42 | 52.27% |
| cbduckets vs Raven | 41–44 | 48.24% |
| cbduckets vs Asuka | 42–42 | 50.00% |
| cbduckets vs Jack-8 | 38–37 | 50.67% |
| cbduckets vs Leroy | 27–42 | 39.13% |
| cbduckets vs Clive | 35–27 | 56.45% |
| cbduckets vs Leo | 27–27 | 50.00% |
| cbduckets vs Fahkumram | 15–36 | 29.41% |
| cbduckets vs Zafina | 27–23 | 54.00% |
| cbduckets vs Devil Jin | 24–21 | 53.33% |
| cbduckets vs Lidia | 23–19 | 54.76% |
| cbduckets vs Alisa | 19–22 | 46.34% |
| cbduckets vs Claudio | 20–14 | 58.82% |
| cbduckets vs Anna | 17–16 | 51.52% |
| cbduckets vs Kuma | 12–13 | 48.00% |
| cbduckets vs Panda | 13–11 | 54.17% |
| cbduckets vs Shaheen | 6–7 | 46.15% |
| cbduckets vs Armor King | 5–7 | 41.67% |
| cbduckets vs Miary Zo | 5–3 | 62.50% |
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.