| SageSZN vs Bryan | 171–144 | 54.29% |
| SageSZN vs Jin | 147–153 | 49.00% |
| SageSZN vs Reina | 155–115 | 57.41% |
| SageSZN vs King | 126–134 | 48.46% |
| SageSZN vs Kazuya | 123–132 | 48.24% |
| SageSZN vs Steve | 130–120 | 52.00% |
| SageSZN vs Hwoarang | 98–108 | 47.57% |
| SageSZN vs Azucena | 112–88 | 56.00% |
| SageSZN vs Lee | 107–90 | 54.31% |
| SageSZN vs Yoshimitsu | 114–79 | 59.07% |
| SageSZN vs Law | 91–92 | 49.73% |
| SageSZN vs Dragunov | 74–92 | 44.58% |
| SageSZN vs Paul | 84–81 | 50.91% |
| SageSZN vs Lars | 101–58 | 63.52% |
| SageSZN vs Feng | 81–68 | 54.36% |
| SageSZN vs Lili | 80–67 | 54.42% |
| SageSZN vs Victor | 75–71 | 51.37% |
| SageSZN vs Jun | 81–63 | 56.25% |
| SageSZN vs Raven | 67–66 | 50.38% |
| SageSZN vs Asuka | 75–56 | 57.25% |
| SageSZN vs Heihachi | 58–65 | 47.15% |
| SageSZN vs Leo | 59–63 | 48.36% |
| SageSZN vs Xiaoyu | 66–53 | 55.46% |
| SageSZN vs Eddy | 64–46 | 58.18% |
| SageSZN vs Devil Jin | 49–59 | 45.37% |
| SageSZN vs Nina | 50–56 | 47.17% |
| SageSZN vs Leroy | 49–44 | 52.69% |
| SageSZN vs Fahkumram | 50–38 | 56.82% |
| SageSZN vs Alisa | 44–37 | 54.32% |
| SageSZN vs Armor King | 31–48 | 39.24% |
| SageSZN vs Clive | 35–43 | 44.87% |
| SageSZN vs Jack-8 | 42–30 | 58.33% |
| SageSZN vs Zafina | 32–36 | 47.06% |
| SageSZN vs Lidia | 29–39 | 42.65% |
| SageSZN vs Anna | 30–37 | 44.78% |
| SageSZN vs Claudio | 27–34–1 | 44.26% |
| SageSZN vs Miary Zo | 32–24 | 57.14% |
| SageSZN vs Shaheen | 18–26 | 40.91% |
| SageSZN vs Kuma | 25–19 | 56.82% |
| SageSZN vs Panda | 11–15 | 42.31% |
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.