| GrayFox vs Jin | 200–210 | 48.78% |
| GrayFox vs Kazuya | 224–175 | 56.14% |
| GrayFox vs King | 175–197 | 47.04% |
| GrayFox vs Dragunov | 147–163 | 47.42% |
| GrayFox vs Bryan | 149–152 | 49.50% |
| GrayFox vs Hwoarang | 121–126 | 48.99% |
| GrayFox vs Yoshimitsu | 141–78 | 64.38% |
| GrayFox vs Law | 108–107 | 50.23% |
| GrayFox vs Steve | 106–94 | 53.00% |
| GrayFox vs Heihachi | 93–95 | 49.47% |
| GrayFox vs Feng | 103–73 | 58.52% |
| GrayFox vs Devil Jin | 99–74 | 57.23% |
| GrayFox vs Reina | 90–79 | 53.25% |
| GrayFox vs Alisa | 91–73 | 55.49% |
| GrayFox vs Paul | 89–55 | 61.81% |
| GrayFox vs Lars | 82–61 | 57.34% |
| GrayFox vs Lee | 72–66 | 52.17% |
| GrayFox vs Jun | 61–63 | 49.19% |
| GrayFox vs Lili | 61–55 | 52.59% |
| GrayFox vs Victor | 49–57 | 46.23% |
| GrayFox vs Nina | 52–49 | 51.49% |
| GrayFox vs Jack-8 | 49–50 | 49.49% |
| GrayFox vs Leroy | 46–52 | 46.94% |
| GrayFox vs Shaheen | 45–45 | 50.00% |
| GrayFox vs Asuka | 53–33 | 61.63% |
| GrayFox vs Claudio | 42–42 | 50.00% |
| GrayFox vs Xiaoyu | 43–40 | 51.81% |
| GrayFox vs Kuma | 37–41 | 47.44% |
| GrayFox vs Raven | 30–44 | 40.54% |
| GrayFox vs Azucena | 36–36 | 50.00% |
| GrayFox vs Eddy | 28–41 | 40.58% |
| GrayFox vs Zafina | 31–24 | 56.36% |
| GrayFox vs Lidia | 26–28 | 48.15% |
| GrayFox vs Leo | 25–18 | 58.14% |
| GrayFox vs Anna | 17–16 | 51.52% |
| GrayFox vs Clive | 9–20 | 31.03% |
| GrayFox vs Armor King | 8–4 | 66.67% |
| GrayFox vs Panda | 2–8 | 20.00% |
| GrayFox vs Fahkumram | 5–1 | 83.33% |
| GrayFox vs Miary Zo | 2–0 | 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.