| pu-san vs Bryan | 140–140 | 50.00% |
| pu-san vs Kazuya | 106–101 | 51.21% |
| pu-san vs Paul | 107–93 | 53.50% |
| pu-san vs Hwoarang | 82–116 | 41.41% |
| pu-san vs King | 106–91 | 53.81% |
| pu-san vs Dragunov | 96–97 | 49.74% |
| pu-san vs Jin | 78–80 | 49.37% |
| pu-san vs Steve | 67–68 | 49.63% |
| pu-san vs Yoshimitsu | 85–49 | 63.43% |
| pu-san vs Law | 73–50 | 59.35% |
| pu-san vs Azucena | 55–63 | 46.61% |
| pu-san vs Lili | 64–53 | 54.70% |
| pu-san vs Reina | 48–64 | 42.86% |
| pu-san vs Asuka | 60–49 | 55.05% |
| pu-san vs Lars | 55–53 | 50.93% |
| pu-san vs Nina | 52–56 | 48.15% |
| pu-san vs Feng | 55–51 | 51.89% |
| pu-san vs Jun | 57–44 | 56.44% |
| pu-san vs Devil Jin | 46–54 | 46.00% |
| pu-san vs Xiaoyu | 57–38 | 60.00% |
| pu-san vs Jack-8 | 41–54 | 43.16% |
| pu-san vs Lee | 47–43 | 52.22% |
| pu-san vs Anna | 39–51 | 43.33% |
| pu-san vs Leroy | 40–46 | 46.51% |
| pu-san vs Victor | 32–54 | 37.21% |
| pu-san vs Heihachi | 29–53 | 35.37% |
| pu-san vs Armor King | 42–35 | 54.55% |
| pu-san vs Raven | 46–27 | 63.01% |
| pu-san vs Lidia | 30–40 | 42.86% |
| pu-san vs Fahkumram | 31–37 | 45.59% |
| pu-san vs Alisa | 29–37 | 43.94% |
| pu-san vs Eddy | 21–42 | 33.33% |
| pu-san vs Claudio | 32–25 | 56.14% |
| pu-san vs Leo | 25–30 | 45.45% |
| pu-san vs Zafina | 39–15 | 72.22% |
| pu-san vs Clive | 17–30 | 36.17% |
| pu-san vs Shaheen | 20–24 | 45.45% |
| pu-san vs Kuma | 24–19 | 55.81% |
| pu-san vs Panda | 16–20 | 44.44% |
| pu-san vs Miary Zo | 8–11 | 42.11% |
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.