| GxTrack vs Jin | 166–137 | 54.79% |
| GxTrack vs Dragunov | 178–121 | 59.53% |
| GxTrack vs Bryan | 198–81 | 70.97% |
| GxTrack vs Hwoarang | 158–96 | 62.20% |
| GxTrack vs King | 136–100 | 57.63% |
| GxTrack vs Clive | 133–101 | 56.84% |
| GxTrack vs Kazuya | 117–101 | 53.67% |
| GxTrack vs Yoshimitsu | 117–69 | 62.90% |
| GxTrack vs Steve | 106–75 | 58.56% |
| GxTrack vs Heihachi | 102–74 | 57.95% |
| GxTrack vs Lili | 107–67 | 61.49% |
| GxTrack vs Asuka | 103–59 | 63.58% |
| GxTrack vs Paul | 105–52 | 66.88% |
| GxTrack vs Lars | 85–72 | 54.14% |
| GxTrack vs Jack-8 | 74–75 | 49.66% |
| GxTrack vs Law | 97–48 | 66.90% |
| GxTrack vs Devil Jin | 82–61 | 57.34% |
| GxTrack vs Reina | 68–69 | 49.64% |
| GxTrack vs Fahkumram | 65–54 | 54.62% |
| GxTrack vs Leo | 59–56 | 51.30% |
| GxTrack vs Anna | 65–49 | 57.02% |
| GxTrack vs Xiaoyu | 59–54 | 52.21% |
| GxTrack vs Feng | 62–48 | 56.36% |
| GxTrack vs Lee | 61–46 | 57.01% |
| GxTrack vs Nina | 69–34 | 66.99% |
| GxTrack vs Jun | 62–40 | 60.78% |
| GxTrack vs Claudio | 46–47 | 49.46% |
| GxTrack vs Eddy | 49–33 | 59.76% |
| GxTrack vs Alisa | 34–42 | 44.74% |
| GxTrack vs Armor King | 37–38 | 49.33% |
| GxTrack vs Raven | 48–26 | 64.86% |
| GxTrack vs Victor | 21–47 | 30.88% |
| GxTrack vs Azucena | 34–29–1 | 53.97% |
| GxTrack vs Kuma | 29–33 | 46.77% |
| GxTrack vs Zafina | 36–22 | 62.07% |
| GxTrack vs Shaheen | 22–34 | 39.29% |
| GxTrack vs Leroy | 26–13 | 66.67% |
| GxTrack vs Lidia | 19–20 | 48.72% |
| GxTrack vs Panda | 18–16 | 52.94% |
| GxTrack vs Miary Zo | 8–12 | 40.00% |
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.