| KSB-YAKK vs Kazuya | 47–43 | 52.22% |
| KSB-YAKK vs Jin | 48–35 | 57.83% |
| KSB-YAKK vs Heihachi | 38–39 | 49.35% |
| KSB-YAKK vs Bryan | 44–32 | 57.89% |
| KSB-YAKK vs King | 33–39 | 45.83% |
| KSB-YAKK vs Reina | 38–18 | 67.86% |
| KSB-YAKK vs Azucena | 24–25 | 48.98% |
| KSB-YAKK vs Hwoarang | 30–18 | 62.50% |
| KSB-YAKK vs Law | 20–27 | 42.55% |
| KSB-YAKK vs Clive | 23–24 | 48.94% |
| KSB-YAKK vs Steve | 22–20 | 52.38% |
| KSB-YAKK vs Dragunov | 18–21 | 46.15% |
| KSB-YAKK vs Victor | 18–20 | 47.37% |
| KSB-YAKK vs Yoshimitsu | 16–15 | 51.61% |
| KSB-YAKK vs Lars | 11–20 | 35.48% |
| KSB-YAKK vs Eddy | 16–14 | 53.33% |
| KSB-YAKK vs Lee | 20–9 | 68.97% |
| KSB-YAKK vs Leroy | 16–10 | 61.54% |
| KSB-YAKK vs Jun | 16–10 | 61.54% |
| KSB-YAKK vs Xiaoyu | 14–11 | 56.00% |
| KSB-YAKK vs Lidia | 9–16 | 36.00% |
| KSB-YAKK vs Lili | 10–14 | 41.67% |
| KSB-YAKK vs Fahkumram | 15–9 | 62.50% |
| KSB-YAKK vs Paul | 14–9 | 60.87% |
| KSB-YAKK vs Devil Jin | 12–11 | 52.17% |
| KSB-YAKK vs Feng | 6–16 | 27.27% |
| KSB-YAKK vs Raven | 14–8 | 63.64% |
| KSB-YAKK vs Nina | 9–11 | 45.00% |
| KSB-YAKK vs Leo | 4–15 | 21.05% |
| KSB-YAKK vs Armor King | 6–13 | 31.58% |
| KSB-YAKK vs Jack-8 | 4–14 | 22.22% |
| KSB-YAKK vs Miary Zo | 5–11 | 31.25% |
| KSB-YAKK vs Asuka | 8–4 | 66.67% |
| KSB-YAKK vs Shaheen | 8–3 | 72.73% |
| KSB-YAKK vs Anna | 7–4 | 63.64% |
| KSB-YAKK vs Alisa | 4–6 | 40.00% |
| KSB-YAKK vs Kuma | 3–7 | 30.00% |
| KSB-YAKK vs Claudio | 2–6 | 25.00% |
| KSB-YAKK vs Zafina | 5–2 | 71.43% |
| KSB-YAKK vs Panda | 0–2 | 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.