| Slayqueens vs Law | 22–49 | 30.99% |
| Slayqueens vs Hwoarang | 24–37 | 39.34% |
| Slayqueens vs Steve | 23–33 | 41.07% |
| Slayqueens vs King | 17–34 | 33.33% |
| Slayqueens vs Jin | 13–38 | 25.49% |
| Slayqueens vs Kazuya | 14–37 | 27.45% |
| Slayqueens vs Dragunov | 14–29 | 32.56% |
| Slayqueens vs Eddy | 14–29 | 32.56% |
| Slayqueens vs Bryan | 14–28 | 33.33% |
| Slayqueens vs Azucena | 15–24 | 38.46% |
| Slayqueens vs Reina | 16–22 | 42.11% |
| Slayqueens vs Asuka | 13–19 | 40.62% |
| Slayqueens vs Yoshimitsu | 8–22 | 26.67% |
| Slayqueens vs Miary Zo | 13–17 | 43.33% |
| Slayqueens vs Jun | 10–18 | 35.71% |
| Slayqueens vs Nina | 8–19 | 29.63% |
| Slayqueens vs Paul | 14–12 | 53.85% |
| Slayqueens vs Lili | 10–16 | 38.46% |
| Slayqueens vs Devil Jin | 10–15 | 40.00% |
| Slayqueens vs Lars | 9–16 | 36.00% |
| Slayqueens vs Clive | 7–16 | 30.43% |
| Slayqueens vs Victor | 3–19 | 13.64% |
| Slayqueens vs Xiaoyu | 16–5 | 76.19% |
| Slayqueens vs Jack-8 | 2–19 | 9.52% |
| Slayqueens vs Fahkumram | 8–13 | 38.10% |
| Slayqueens vs Armor King | 9–9 | 50.00% |
| Slayqueens vs Leo | 10–7 | 58.82% |
| Slayqueens vs Anna | 7–10 | 41.18% |
| Slayqueens vs Feng | 8–7 | 53.33% |
| Slayqueens vs Lidia | 3–12 | 20.00% |
| Slayqueens vs Heihachi | 4–10 | 28.57% |
| Slayqueens vs Leroy | 12–1 | 92.31% |
| Slayqueens vs Alisa | 5–6 | 45.45% |
| Slayqueens vs Kuma | 4–7 | 36.36% |
| Slayqueens vs Claudio | 3–5 | 37.50% |
| Slayqueens vs Raven | 2–6 | 25.00% |
| Slayqueens vs Shaheen | 3–4 | 42.86% |
| Slayqueens vs Zafina | 4–2 | 66.67% |
| Slayqueens vs Lee | 4–0 | 100.00% |
| Slayqueens vs Panda | 1–0 | 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.