| KeiDash vs Heihachi | 93–19 | 83.04% |
| KeiDash vs Jin | 86–15 | 85.15% |
| KeiDash vs Kazuya | 72–16 | 81.82% |
| KeiDash vs Bryan | 69–12 | 85.19% |
| KeiDash vs King | 47–18 | 72.31% |
| KeiDash vs Law | 52–10 | 83.87% |
| KeiDash vs Jun | 49–11 | 81.67% |
| KeiDash vs Reina | 46–14 | 76.67% |
| KeiDash vs Hwoarang | 42–6 | 87.50% |
| KeiDash vs Clive | 36–11 | 76.60% |
| KeiDash vs Eddy | 32–13 | 71.11% |
| KeiDash vs Devil Jin | 30–10 | 75.00% |
| KeiDash vs Yoshimitsu | 26–11 | 70.27% |
| KeiDash vs Lee | 27–6 | 81.82% |
| KeiDash vs Raven | 27–6 | 81.82% |
| KeiDash vs Dragunov | 25–5 | 83.33% |
| KeiDash vs Steve | 23–5 | 82.14% |
| KeiDash vs Victor | 21–7 | 75.00% |
| KeiDash vs Xiaoyu | 24–3 | 88.89% |
| KeiDash vs Azucena | 20–7 | 74.07% |
| KeiDash vs Asuka | 19–4 | 82.61% |
| KeiDash vs Lili | 19–3 | 86.36% |
| KeiDash vs Lidia | 16–6 | 72.73% |
| KeiDash vs Paul | 18–3 | 85.71% |
| KeiDash vs Leroy | 11–8 | 57.89% |
| KeiDash vs Lars | 15–3 | 83.33% |
| KeiDash vs Claudio | 11–7 | 61.11% |
| KeiDash vs Kuma | 13–5 | 72.22% |
| KeiDash vs Feng | 15–1 | 93.75% |
| KeiDash vs Alisa | 15–1 | 93.75% |
| KeiDash vs Leo | 9–2 | 81.82% |
| KeiDash vs Zafina | 9–2 | 81.82% |
| KeiDash vs Jack-8 | 9–1 | 90.00% |
| KeiDash vs Nina | 6–2 | 75.00% |
| KeiDash vs Shaheen | 4–1 | 80.00% |
| KeiDash vs Fahkumram | 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.