| Xscanor vs Kazuya | 205–152 | 57.42% |
| Xscanor vs Jin | 189–143 | 56.93% |
| Xscanor vs Hwoarang | 146–100 | 59.35% |
| Xscanor vs Bryan | 116–125 | 48.13% |
| Xscanor vs King | 113–111 | 50.45% |
| Xscanor vs Law | 118–103 | 53.39% |
| Xscanor vs Reina | 120–82 | 59.41% |
| Xscanor vs Paul | 86–101 | 45.99% |
| Xscanor vs Steve | 81–100 | 44.75% |
| Xscanor vs Yoshimitsu | 72–96 | 42.86% |
| Xscanor vs Lili | 83–84 | 49.70% |
| Xscanor vs Dragunov | 74–89 | 45.40% |
| Xscanor vs Asuka | 67–80 | 45.58% |
| Xscanor vs Lee | 68–74 | 47.89% |
| Xscanor vs Heihachi | 76–59 | 56.30% |
| Xscanor vs Devil Jin | 79–52 | 60.31% |
| Xscanor vs Jun | 71–59 | 54.62% |
| Xscanor vs Azucena | 65–62 | 51.18% |
| Xscanor vs Eddy | 76–51 | 59.84% |
| Xscanor vs Armor King | 50–57 | 46.73% |
| Xscanor vs Nina | 44–59 | 42.72% |
| Xscanor vs Feng | 46–55 | 45.54% |
| Xscanor vs Alisa | 47–52 | 47.47% |
| Xscanor vs Raven | 42–52 | 44.68% |
| Xscanor vs Lidia | 41–47 | 46.59% |
| Xscanor vs Xiaoyu | 38–45 | 45.78% |
| Xscanor vs Fahkumram | 31–51 | 37.80% |
| Xscanor vs Victor | 36–32 | 52.94% |
| Xscanor vs Clive | 29–37 | 43.94% |
| Xscanor vs Lars | 22–41 | 34.92% |
| Xscanor vs Leroy | 21–36 | 36.84% |
| Xscanor vs Claudio | 26–29 | 47.27% |
| Xscanor vs Zafina | 13–35 | 27.08% |
| Xscanor vs Jack-8 | 24–21 | 53.33% |
| Xscanor vs Leo | 20–20 | 50.00% |
| Xscanor vs Anna | 15–22 | 40.54% |
| Xscanor vs Shaheen | 11–19 | 36.67% |
| Xscanor vs Kuma | 11–15 | 42.31% |
| Xscanor vs Panda | 3–13 | 18.75% |
| Xscanor vs Miary Zo | 5–5 | 50.00% |
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.