| X90sX vs Kazuya | 134–105 | 56.07% |
| X90sX vs Jin | 143–88–1 | 61.90% |
| X90sX vs King | 136–95 | 58.87% |
| X90sX vs Bryan | 128–98 | 56.64% |
| X90sX vs Reina | 99–78 | 55.93% |
| X90sX vs Law | 93–61 | 60.39% |
| X90sX vs Steve | 82–65 | 55.78% |
| X90sX vs Heihachi | 83–59 | 58.45% |
| X90sX vs Hwoarang | 80–55 | 59.26% |
| X90sX vs Dragunov | 65–61 | 51.59% |
| X90sX vs Lee | 79–47 | 62.70% |
| X90sX vs Yoshimitsu | 70–47 | 59.83% |
| X90sX vs Paul | 66–46 | 58.93% |
| X90sX vs Jun | 64–48 | 57.14% |
| X90sX vs Eddy | 71–41 | 63.39% |
| X90sX vs Lili | 58–51 | 53.21% |
| X90sX vs Lars | 50–53 | 48.54% |
| X90sX vs Devil Jin | 52–49 | 51.49% |
| X90sX vs Azucena | 58–38 | 60.42% |
| X90sX vs Feng | 51–39 | 56.67% |
| X90sX vs Victor | 56–33 | 62.92% |
| X90sX vs Raven | 45–41 | 52.33% |
| X90sX vs Lidia | 39–47 | 45.35% |
| X90sX vs Clive | 36–45 | 44.44% |
| X90sX vs Asuka | 40–34 | 54.05% |
| X90sX vs Xiaoyu | 47–24 | 66.20% |
| X90sX vs Fahkumram | 39–31 | 55.71% |
| X90sX vs Nina | 36–33 | 52.17% |
| X90sX vs Zafina | 35–23 | 60.34% |
| X90sX vs Jack-8 | 27–29 | 48.21% |
| X90sX vs Alisa | 28–28 | 50.00% |
| X90sX vs Armor King | 37–16 | 69.81% |
| X90sX vs Leo | 31–21 | 59.62% |
| X90sX vs Claudio | 19–33 | 36.54% |
| X90sX vs Leroy | 26–22 | 54.17% |
| X90sX vs Kuma | 14–26 | 35.00% |
| X90sX vs Anna | 16–17 | 48.48% |
| X90sX vs Shaheen | 9–20 | 31.03% |
| X90sX vs Panda | 10–17 | 37.04% |
| X90sX vs Miary Zo | 11–7 | 61.11% |
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.