| XyBlur vs Bryan | 87–71 | 55.06% |
| XyBlur vs Kazuya | 52–76 | 40.62% |
| XyBlur vs Hwoarang | 66–57 | 53.66% |
| XyBlur vs Jin | 52–63 | 45.22% |
| XyBlur vs Fahkumram | 42–61 | 40.78% |
| XyBlur vs King | 37–51 | 42.05% |
| XyBlur vs Steve | 42–45 | 48.28% |
| XyBlur vs Lars | 37–49 | 43.02% |
| XyBlur vs Dragunov | 31–45 | 40.79% |
| XyBlur vs Law | 40–29 | 57.97% |
| XyBlur vs Paul | 31–37 | 45.59% |
| XyBlur vs Asuka | 33–34 | 49.25% |
| XyBlur vs Reina | 37–29 | 56.06% |
| XyBlur vs Anna | 38–24 | 61.29% |
| XyBlur vs Nina | 36–25 | 59.02% |
| XyBlur vs Armor King | 30–31 | 49.18% |
| XyBlur vs Feng | 35–25 | 58.33% |
| XyBlur vs Heihachi | 27–33 | 45.00% |
| XyBlur vs Jack-8 | 24–33 | 42.11% |
| XyBlur vs Xiaoyu | 32–23 | 58.18% |
| XyBlur vs Yoshimitsu | 38–16 | 70.37% |
| XyBlur vs Lee | 23–31 | 42.59% |
| XyBlur vs Lili | 19–32 | 37.25% |
| XyBlur vs Shaheen | 26–25 | 50.98% |
| XyBlur vs Azucena | 26–22 | 54.17% |
| XyBlur vs Zafina | 24–22 | 52.17% |
| XyBlur vs Lidia | 17–28 | 37.78% |
| XyBlur vs Clive | 23–22 | 51.11% |
| XyBlur vs Victor | 20–24 | 45.45% |
| XyBlur vs Jun | 22–21 | 51.16% |
| XyBlur vs Leo | 24–18 | 57.14% |
| XyBlur vs Devil Jin | 12–29 | 29.27% |
| XyBlur vs Claudio | 20–16 | 55.56% |
| XyBlur vs Alisa | 11–23 | 32.35% |
| XyBlur vs Leroy | 10–24 | 29.41% |
| XyBlur vs Eddy | 15–18 | 45.45% |
| XyBlur vs Raven | 13–15 | 46.43% |
| XyBlur vs Miary Zo | 15–13 | 53.57% |
| XyBlur vs Panda | 6–10 | 37.50% |
| XyBlur vs Kuma | 8–6 | 57.14% |
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.