| KeiDash vs Kazuya | 90–6 | 93.75% |
| KeiDash vs Jin | 61–8 | 88.41% |
| KeiDash vs Heihachi | 48–16 | 75.00% |
| KeiDash vs Bryan | 49–5 | 90.74% |
| KeiDash vs Clive | 39–13 | 75.00% |
| KeiDash vs Dragunov | 33–11 | 75.00% |
| KeiDash vs Reina | 41–3 | 93.18% |
| KeiDash vs King | 39–4 | 90.70% |
| KeiDash vs Lee | 35–5 | 87.50% |
| KeiDash vs Hwoarang | 28–8 | 77.78% |
| KeiDash vs Paul | 26–2 | 92.86% |
| KeiDash vs Yoshimitsu | 22–5 | 81.48% |
| KeiDash vs Asuka | 20–7 | 74.07% |
| KeiDash vs Nina | 21–5 | 80.77% |
| KeiDash vs Steve | 25–0 | 100.00% |
| KeiDash vs Devil Jin | 21–3 | 87.50% |
| KeiDash vs Eddy | 22–1 | 95.65% |
| KeiDash vs Law | 17–5 | 77.27% |
| KeiDash vs Jun | 19–3 | 86.36% |
| KeiDash vs Jack-8 | 18–3 | 85.71% |
| KeiDash vs Xiaoyu | 15–3 | 83.33% |
| KeiDash vs Alisa | 9–8 | 52.94% |
| KeiDash vs Victor | 16–1 | 94.12% |
| KeiDash vs Claudio | 12–4 | 75.00% |
| KeiDash vs Lili | 15–0 | 100.00% |
| KeiDash vs Leroy | 11–2 | 84.62% |
| KeiDash vs Raven | 10–3 | 76.92% |
| KeiDash vs Lidia | 9–3 | 75.00% |
| KeiDash vs Leo | 11–0 | 100.00% |
| KeiDash vs Lars | 10–1 | 90.91% |
| KeiDash vs Feng | 9–1 | 90.00% |
| KeiDash vs Shaheen | 8–2 | 80.00% |
| KeiDash vs Kuma | 10–0 | 100.00% |
| KeiDash vs Zafina | 6–3 | 66.67% |
| KeiDash vs Azucena | 7–2 | 77.78% |
| KeiDash vs Panda | 3–0 | 100.00% |
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.