| gyatata vs Kazuya | 100–123 | 44.84% |
| gyatata vs Reina | 95–94 | 50.26% |
| gyatata vs Jin | 83–101 | 45.11% |
| gyatata vs King | 77–97 | 44.25% |
| gyatata vs Heihachi | 94–79 | 54.34% |
| gyatata vs Steve | 75–85 | 46.88% |
| gyatata vs Bryan | 69–87 | 44.23% |
| gyatata vs Law | 61–75 | 44.85% |
| gyatata vs Azucena | 50–76 | 39.68% |
| gyatata vs Dragunov | 64–60 | 51.61% |
| gyatata vs Hwoarang | 46–70 | 39.66% |
| gyatata vs Clive | 67–48 | 58.26% |
| gyatata vs Lee | 51–59 | 46.36% |
| gyatata vs Yoshimitsu | 50–56 | 47.17% |
| gyatata vs Armor King | 34–57 | 37.36% |
| gyatata vs Lili | 48–42 | 53.33% |
| gyatata vs Paul | 52–34 | 60.47% |
| gyatata vs Lidia | 42–38 | 52.50% |
| gyatata vs Asuka | 31–47 | 39.74% |
| gyatata vs Lars | 35–39 | 47.30% |
| gyatata vs Xiaoyu | 31–42 | 42.47% |
| gyatata vs Victor | 32–41 | 43.84% |
| gyatata vs Eddy | 30–40 | 42.86% |
| gyatata vs Devil Jin | 30–35 | 46.15% |
| gyatata vs Jun | 28–31 | 47.46% |
| gyatata vs Jack-8 | 20–38 | 34.48% |
| gyatata vs Fahkumram | 18–36 | 33.33% |
| gyatata vs Feng | 24–29 | 45.28% |
| gyatata vs Leroy | 24–29 | 45.28% |
| gyatata vs Leo | 20–32 | 38.46% |
| gyatata vs Nina | 27–22 | 55.10% |
| gyatata vs Miary Zo | 14–31 | 31.11% |
| gyatata vs Raven | 20–22 | 47.62% |
| gyatata vs Claudio | 19–21 | 47.50% |
| gyatata vs Alisa | 11–20 | 35.48% |
| gyatata vs Kuma | 13–17 | 43.33% |
| gyatata vs Shaheen | 10–12 | 45.45% |
| gyatata vs Anna | 7–14 | 33.33% |
| gyatata vs Zafina | 5–14 | 26.32% |
| gyatata vs Panda | 9–7 | 56.25% |
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.