| kyakya vs Bryan | 110–101 | 52.13% |
| kyakya vs Kazuya | 122–80 | 60.40% |
| kyakya vs Hwoarang | 126–66 | 65.62% |
| kyakya vs Reina | 109–79 | 57.98% |
| kyakya vs Jin | 94–87 | 51.93% |
| kyakya vs Steve | 95–79 | 54.60% |
| kyakya vs Heihachi | 92–67 | 57.86% |
| kyakya vs Dragunov | 98–60 | 62.03% |
| kyakya vs Yoshimitsu | 77–67 | 53.47% |
| kyakya vs Paul | 95–47 | 66.90% |
| kyakya vs Lars | 81–57 | 58.70% |
| kyakya vs King | 83–48 | 63.36% |
| kyakya vs Nina | 69–55 | 55.65% |
| kyakya vs Raven | 66–58 | 53.23% |
| kyakya vs Law | 77–37 | 67.54% |
| kyakya vs Asuka | 71–39–1 | 64.55% |
| kyakya vs Lili | 65–43 | 60.19% |
| kyakya vs Lee | 65–43 | 60.19% |
| kyakya vs Victor | 63–45 | 58.33% |
| kyakya vs Alisa | 53–52 | 50.48% |
| kyakya vs Xiaoyu | 53–47 | 53.00% |
| kyakya vs Azucena | 52–48 | 52.00% |
| kyakya vs Devil Jin | 59–36 | 62.11% |
| kyakya vs Jun | 62–31 | 66.67% |
| kyakya vs Lidia | 49–41 | 54.44% |
| kyakya vs Miary Zo | 55–34 | 61.80% |
| kyakya vs Eddy | 39–40 | 49.37% |
| kyakya vs Leo | 38–33 | 53.52% |
| kyakya vs Feng | 42–28 | 60.00% |
| kyakya vs Leroy | 45–24 | 65.22% |
| kyakya vs Claudio | 37–29 | 56.06% |
| kyakya vs Jack-8 | 33–32 | 50.77% |
| kyakya vs Zafina | 33–31 | 51.56% |
| kyakya vs Armor King | 36–28 | 56.25% |
| kyakya vs Kuma | 32–25 | 56.14% |
| kyakya vs Shaheen | 19–17 | 52.78% |
| kyakya vs Clive | 16–14–1 | 53.33% |
| kyakya vs Fahkumram | 17–12 | 58.62% |
| kyakya vs Anna | 10–6 | 62.50% |
| kyakya vs Panda | 6–8 | 42.86% |
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.