| Kwakalaka vs Bryan | 39–32 | 54.93% |
| Kwakalaka vs Jin | 42–26 | 61.76% |
| Kwakalaka vs Lidia | 32–26 | 55.17% |
| Kwakalaka vs Reina | 42–14 | 75.00% |
| Kwakalaka vs Kazuya | 38–16 | 70.37% |
| Kwakalaka vs Yoshimitsu | 30–18 | 62.50% |
| Kwakalaka vs Jun | 32–16 | 66.67% |
| Kwakalaka vs Hwoarang | 35–8 | 81.40% |
| Kwakalaka vs Law | 33–9 | 78.57% |
| Kwakalaka vs Victor | 23–19 | 54.76% |
| Kwakalaka vs Lee | 29–11 | 72.50% |
| Kwakalaka vs Jack-8 | 22–16 | 57.89% |
| Kwakalaka vs Dragunov | 25–13 | 65.79% |
| Kwakalaka vs King | 24–13 | 64.86% |
| Kwakalaka vs Steve | 28–8 | 77.78% |
| Kwakalaka vs Lili | 23–12 | 65.71% |
| Kwakalaka vs Nina | 21–11 | 65.62% |
| Kwakalaka vs Paul | 18–13 | 58.06% |
| Kwakalaka vs Claudio | 20–11 | 64.52% |
| Kwakalaka vs Eddy | 21–8 | 72.41% |
| Kwakalaka vs Devil Jin | 14–13 | 51.85% |
| Kwakalaka vs Feng | 18–6 | 75.00% |
| Kwakalaka vs Azucena | 16–7 | 69.57% |
| Kwakalaka vs Shaheen | 17–5 | 77.27% |
| Kwakalaka vs Lars | 13–8 | 61.90% |
| Kwakalaka vs Asuka | 12–8 | 60.00% |
| Kwakalaka vs Armor King | 13–7 | 65.00% |
| Kwakalaka vs Xiaoyu | 15–4 | 78.95% |
| Kwakalaka vs Alisa | 11–8 | 57.89% |
| Kwakalaka vs Miary Zo | 12–7 | 63.16% |
| Kwakalaka vs Heihachi | 11–3 | 78.57% |
| Kwakalaka vs Zafina | 8–5 | 61.54% |
| Kwakalaka vs Leroy | 7–6 | 53.85% |
| Kwakalaka vs Kuma | 6–4 | 60.00% |
| Kwakalaka vs Raven | 7–3 | 70.00% |
| Kwakalaka vs Leo | 3–4 | 42.86% |
| Kwakalaka vs Panda | 4–2 | 66.67% |
| Kwakalaka vs Clive | 3–3 | 50.00% |
| Kwakalaka vs Fahkumram | 4–2 | 66.67% |
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.