| Xaldron vs Kazuya | 72–73 | 49.66% |
| Xaldron vs Jin | 48–66 | 42.11% |
| Xaldron vs King | 47–52 | 47.47% |
| Xaldron vs Bryan | 47–45 | 51.09% |
| Xaldron vs Reina | 50–41 | 54.95% |
| Xaldron vs Dragunov | 30–40 | 42.86% |
| Xaldron vs Hwoarang | 40–26 | 60.61% |
| Xaldron vs Clive | 32–34 | 48.48% |
| Xaldron vs Yoshimitsu | 40–24 | 62.50% |
| Xaldron vs Steve | 28–34 | 45.16% |
| Xaldron vs Lili | 23–39 | 37.10% |
| Xaldron vs Xiaoyu | 32–24 | 57.14% |
| Xaldron vs Lee | 32–24 | 57.14% |
| Xaldron vs Law | 31–19 | 62.00% |
| Xaldron vs Jun | 21–24 | 46.67% |
| Xaldron vs Heihachi | 29–16 | 64.44% |
| Xaldron vs Paul | 12–23 | 34.29% |
| Xaldron vs Asuka | 23–12 | 65.71% |
| Xaldron vs Lars | 17–17 | 50.00% |
| Xaldron vs Azucena | 20–14 | 58.82% |
| Xaldron vs Devil Jin | 16–15 | 51.61% |
| Xaldron vs Victor | 8–22 | 26.67% |
| Xaldron vs Jack-8 | 14–13 | 51.85% |
| Xaldron vs Feng | 11–16 | 40.74% |
| Xaldron vs Leroy | 11–15 | 42.31% |
| Xaldron vs Leo | 8–15 | 34.78% |
| Xaldron vs Shaheen | 10–11 | 47.62% |
| Xaldron vs Eddy | 6–15 | 28.57% |
| Xaldron vs Raven | 9–11 | 45.00% |
| Xaldron vs Claudio | 8–11 | 42.11% |
| Xaldron vs Alisa | 8–9 | 47.06% |
| Xaldron vs Nina | 7–9 | 43.75% |
| Xaldron vs Zafina | 8–4 | 66.67% |
| Xaldron vs Kuma | 4–6 | 40.00% |
| Xaldron vs Lidia | 8–1 | 88.89% |
| Xaldron vs Panda | 4–0 | 100.00% |
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.