| Càno1685 vs Bryan | 267–246 | 52.05% |
| Càno1685 vs Jin | 266–234 | 53.20% |
| Càno1685 vs Hwoarang | 240–252 | 48.78% |
| Càno1685 vs Kazuya | 263–210 | 55.60% |
| Càno1685 vs King | 245–191 | 56.19% |
| Càno1685 vs Law | 218–188 | 53.69% |
| Càno1685 vs Steve | 201–199 | 50.25% |
| Càno1685 vs Dragunov | 176–151 | 53.82% |
| Càno1685 vs Reina | 145–161 | 47.39% |
| Càno1685 vs Lee | 133–170 | 43.89% |
| Càno1685 vs Paul | 150–151 | 49.83% |
| Càno1685 vs Lars | 135–145 | 48.21% |
| Càno1685 vs Heihachi | 127–129 | 49.61% |
| Càno1685 vs Lili | 119–119 | 50.00% |
| Càno1685 vs Jun | 116–122 | 48.74% |
| Càno1685 vs Yoshimitsu | 98–138 | 41.53% |
| Càno1685 vs Eddy | 128–105 | 54.94% |
| Càno1685 vs Armor King | 107–123 | 46.52% |
| Càno1685 vs Victor | 92–127 | 42.01% |
| Càno1685 vs Asuka | 88–118 | 42.72% |
| Càno1685 vs Raven | 102–99 | 50.75% |
| Càno1685 vs Feng | 97–97 | 50.00% |
| Càno1685 vs Azucena | 98–96 | 50.52% |
| Càno1685 vs Xiaoyu | 85–105 | 44.74% |
| Càno1685 vs Leo | 101–88 | 53.44% |
| Càno1685 vs Jack-8 | 101–86 | 54.01% |
| Càno1685 vs Devil Jin | 54–121 | 30.86% |
| Càno1685 vs Lidia | 87–80 | 52.10% |
| Càno1685 vs Leroy | 83–64 | 56.46% |
| Càno1685 vs Fahkumram | 70–75 | 48.28% |
| Càno1685 vs Nina | 73–68 | 51.77% |
| Càno1685 vs Miary Zo | 56–83 | 40.29% |
| Càno1685 vs Alisa | 52–81 | 39.10% |
| Càno1685 vs Claudio | 51–80 | 38.93% |
| Càno1685 vs Clive | 45–60 | 42.86% |
| Càno1685 vs Zafina | 44–59 | 42.72% |
| Càno1685 vs Anna | 33–65 | 33.67% |
| Càno1685 vs Kuma | 41–53 | 43.62% |
| Càno1685 vs Shaheen | 49–35 | 58.33% |
| Càno1685 vs Panda | 17–18 | 48.57% |
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.