| Kayjiyama vs King | 77–77 | 50.00% |
| Kayjiyama vs Jin | 69–63 | 52.27% |
| Kayjiyama vs Kazuya | 44–78 | 36.07% |
| Kayjiyama vs Steve | 59–63 | 48.36% |
| Kayjiyama vs Reina | 61–59 | 50.83% |
| Kayjiyama vs Hwoarang | 55–49 | 52.88% |
| Kayjiyama vs Heihachi | 54–41 | 56.84% |
| Kayjiyama vs Bryan | 50–44 | 53.19% |
| Kayjiyama vs Azucena | 40–49 | 44.94% |
| Kayjiyama vs Dragunov | 37–41 | 47.44% |
| Kayjiyama vs Law | 25–52 | 32.47% |
| Kayjiyama vs Yoshimitsu | 32–39 | 45.07% |
| Kayjiyama vs Lili | 34–37 | 47.89% |
| Kayjiyama vs Nina | 34–37 | 47.89% |
| Kayjiyama vs Anna | 24–45 | 34.78% |
| Kayjiyama vs Leo | 27–36 | 42.86% |
| Kayjiyama vs Clive | 26–36 | 41.94% |
| Kayjiyama vs Paul | 18–40 | 31.03% |
| Kayjiyama vs Xiaoyu | 37–19 | 66.07% |
| Kayjiyama vs Lee | 27–29 | 48.21% |
| Kayjiyama vs Jun | 27–28 | 49.09% |
| Kayjiyama vs Leroy | 29–25 | 53.70% |
| Kayjiyama vs Fahkumram | 22–31 | 41.51% |
| Kayjiyama vs Victor | 32–20 | 61.54% |
| Kayjiyama vs Asuka | 22–29 | 43.14% |
| Kayjiyama vs Lidia | 25–26 | 49.02% |
| Kayjiyama vs Eddy | 13–34 | 27.66% |
| Kayjiyama vs Alisa | 22–24 | 47.83% |
| Kayjiyama vs Devil Jin | 18–23 | 43.90% |
| Kayjiyama vs Lars | 21–20 | 51.22% |
| Kayjiyama vs Feng | 24–16 | 60.00% |
| Kayjiyama vs Raven | 25–10 | 71.43% |
| Kayjiyama vs Claudio | 12–22 | 35.29% |
| Kayjiyama vs Jack-8 | 16–11 | 59.26% |
| Kayjiyama vs Kuma | 8–16 | 33.33% |
| Kayjiyama vs Shaheen | 4–14 | 22.22% |
| Kayjiyama vs Zafina | 2–4 | 33.33% |
| Kayjiyama vs Panda | 0–5 | 0.00% |
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.