| tempura vs Bryan | 203–154 | 56.86% |
| tempura vs Dragunov | 176–134 | 56.77% |
| tempura vs Kazuya | 147–114 | 56.32% |
| tempura vs Steve | 143–112 | 56.08% |
| tempura vs Hwoarang | 92–138 | 40.00% |
| tempura vs King | 95–126 | 42.99% |
| tempura vs Asuka | 130–85 | 60.47% |
| tempura vs Jin | 120–94 | 56.07% |
| tempura vs Lee | 126–80 | 61.17% |
| tempura vs Feng | 108–90 | 54.55% |
| tempura vs Lili | 103–91 | 53.09% |
| tempura vs Paul | 128–65 | 66.32% |
| tempura vs Reina | 95–98 | 49.22% |
| tempura vs Law | 118–69 | 63.10% |
| tempura vs Lars | 98–85 | 53.55% |
| tempura vs Jack-8 | 97–83 | 53.89% |
| tempura vs Yoshimitsu | 88–78 | 53.01% |
| tempura vs Raven | 87–78 | 52.73% |
| tempura vs Devil Jin | 98–62 | 61.25% |
| tempura vs Azucena | 83–67 | 55.33% |
| tempura vs Nina | 87–62 | 58.39% |
| tempura vs Xiaoyu | 91–56 | 61.90% |
| tempura vs Alisa | 69–78 | 46.94% |
| tempura vs Claudio | 74–63 | 54.01% |
| tempura vs Eddy | 66–70 | 48.53% |
| tempura vs Anna | 81–51 | 61.36% |
| tempura vs Heihachi | 69–61 | 53.08% |
| tempura vs Lidia | 73–56 | 56.59% |
| tempura vs Victor | 45–80 | 36.00% |
| tempura vs Clive | 57–68 | 45.60% |
| tempura vs Leroy | 68–50 | 57.63% |
| tempura vs Shaheen | 56–55–1 | 50.45% |
| tempura vs Leo | 68–42–1 | 61.82% |
| tempura vs Jun | 66–43 | 60.55% |
| tempura vs Zafina | 55–43 | 56.12% |
| tempura vs Armor King | 55–39 | 58.51% |
| tempura vs Miary Zo | 44–33 | 57.14% |
| tempura vs Fahkumram | 33–42 | 44.00% |
| tempura vs Kuma | 38–32 | 54.29% |
| tempura vs Panda | 34–31 | 52.31% |
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.