| Quickswap vs Bryan | 80–45 | 64.00% |
| Quickswap vs Reina | 69–39 | 63.89% |
| Quickswap vs Kazuya | 57–47 | 54.81% |
| Quickswap vs Jin | 57–40 | 58.76% |
| Quickswap vs King | 68–27 | 71.58% |
| Quickswap vs Heihachi | 61–33 | 64.89% |
| Quickswap vs Lee | 44–25 | 63.77% |
| Quickswap vs Steve | 48–20 | 70.59% |
| Quickswap vs Paul | 38–27 | 58.46% |
| Quickswap vs Jun | 38–27 | 58.46% |
| Quickswap vs Lili | 45–15 | 75.00% |
| Quickswap vs Lidia | 29–29 | 50.00% |
| Quickswap vs Devil Jin | 29–27 | 51.79% |
| Quickswap vs Clive | 30–19 | 61.22% |
| Quickswap vs Yoshimitsu | 23–23 | 50.00% |
| Quickswap vs Dragunov | 34–10 | 77.27% |
| Quickswap vs Law | 23–18 | 56.10% |
| Quickswap vs Hwoarang | 30–10 | 75.00% |
| Quickswap vs Asuka | 23–14 | 62.16% |
| Quickswap vs Feng | 21–15 | 58.33% |
| Quickswap vs Azucena | 26–9 | 74.29% |
| Quickswap vs Victor | 18–16 | 52.94% |
| Quickswap vs Eddy | 19–14 | 57.58% |
| Quickswap vs Claudio | 22–8 | 73.33% |
| Quickswap vs Raven | 17–12 | 58.62% |
| Quickswap vs Lars | 12–16 | 42.86% |
| Quickswap vs Zafina | 16–11 | 59.26% |
| Quickswap vs Leroy | 15–8 | 65.22% |
| Quickswap vs Kuma | 14–7 | 66.67% |
| Quickswap vs Nina | 12–8 | 60.00% |
| Quickswap vs Xiaoyu | 9–10 | 47.37% |
| Quickswap vs Leo | 15–4 | 78.95% |
| Quickswap vs Jack-8 | 8–10 | 44.44% |
| Quickswap vs Fahkumram | 11–6 | 64.71% |
| Quickswap vs Alisa | 10–6 | 62.50% |
| Quickswap vs Armor King | 6–4 | 60.00% |
| Quickswap vs Shaheen | 5–4 | 55.56% |
| Quickswap vs Panda | 2–4 | 33.33% |
| Quickswap vs Anna | 2–2 | 50.00% |
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.