| Online 17 vs King | 132–150 | 46.81% |
| Online 17 vs Kazuya | 110–122 | 47.41% |
| Online 17 vs Jin | 85–103 | 45.21% |
| Online 17 vs Steve | 86–88 | 49.43% |
| Online 17 vs Hwoarang | 77–87 | 46.95% |
| Online 17 vs Law | 84–79 | 51.53% |
| Online 17 vs Bryan | 89–62 | 58.94% |
| Online 17 vs Heihachi | 56–59 | 48.70% |
| Online 17 vs Fahkumram | 58–57 | 50.43% |
| Online 17 vs Armor King | 56–51 | 52.34% |
| Online 17 vs Lili | 48–58 | 45.28% |
| Online 17 vs Azucena | 60–46 | 56.60% |
| Online 17 vs Yoshimitsu | 47–56 | 45.63% |
| Online 17 vs Lars | 55–48 | 53.40% |
| Online 17 vs Lee | 52–50 | 50.98% |
| Online 17 vs Jack-8 | 48–53 | 47.52% |
| Online 17 vs Paul | 51–48 | 51.52% |
| Online 17 vs Dragunov | 54–45 | 54.55% |
| Online 17 vs Clive | 48–50 | 48.98% |
| Online 17 vs Jun | 41–46 | 47.13% |
| Online 17 vs Reina | 44–43 | 50.57% |
| Online 17 vs Feng | 40–44 | 47.62% |
| Online 17 vs Asuka | 37–41 | 47.44% |
| Online 17 vs Xiaoyu | 47–25 | 65.28% |
| Online 17 vs Eddy | 36–35 | 50.70% |
| Online 17 vs Devil Jin | 30–38 | 44.12% |
| Online 17 vs Lidia | 46–22 | 67.65% |
| Online 17 vs Nina | 37–29 | 56.06% |
| Online 17 vs Victor | 29–36 | 44.62% |
| Online 17 vs Miary Zo | 35–29 | 54.69% |
| Online 17 vs Anna | 28–31 | 47.46% |
| Online 17 vs Raven | 19–29 | 39.58% |
| Online 17 vs Zafina | 21–23 | 47.73% |
| Online 17 vs Leo | 24–19 | 55.81% |
| Online 17 vs Alisa | 17–25 | 40.48% |
| Online 17 vs Leroy | 22–17 | 56.41% |
| Online 17 vs Kuma | 18–16 | 52.94% |
| Online 17 vs Claudio | 19–13 | 59.38% |
| Online 17 vs Panda | 15–8 | 65.22% |
| Online 17 vs Shaheen | 9–6 | 60.00% |
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.