Dye-Sect vs Jin | 38–46 | 45.24% |
Dye-Sect vs Kazuya | 56–28 | 66.67% |
Dye-Sect vs Eddy | 36–42 | 46.15% |
Dye-Sect vs Reina | 55–21 | 72.37% |
Dye-Sect vs Lidia | 35–40 | 46.67% |
Dye-Sect vs Law | 29–43 | 40.28% |
Dye-Sect vs King | 30–42 | 41.67% |
Dye-Sect vs Bryan | 47–21 | 69.12% |
Dye-Sect vs Hwoarang | 40–23 | 63.49% |
Dye-Sect vs Steve | 33–23 | 58.93% |
Dye-Sect vs Paul | 30–24 | 55.56% |
Dye-Sect vs Lars | 28–23 | 54.90% |
Dye-Sect vs Clive | 32–18 | 64.00% |
Dye-Sect vs Dragunov | 26–19 | 57.78% |
Dye-Sect vs Jun | 23–22 | 51.11% |
Dye-Sect vs Azucena | 30–14 | 68.18% |
Dye-Sect vs Feng | 25–18 | 58.14% |
Dye-Sect vs Lili | 26–17 | 60.47% |
Dye-Sect vs Lee | 24–11 | 68.57% |
Dye-Sect vs Xiaoyu | 19–15 | 55.88% |
Dye-Sect vs Yoshimitsu | 22–11 | 66.67% |
Dye-Sect vs Asuka | 16–16 | 50.00% |
Dye-Sect vs Jack-8 | 16–15 | 51.61% |
Dye-Sect vs Victor | 13–16 | 44.83% |
Dye-Sect vs Leo | 15–13 | 53.57% |
Dye-Sect vs Claudio | 13–15 | 46.43% |
Dye-Sect vs Devil Jin | 11–14 | 44.00% |
Dye-Sect vs Leroy | 15–10 | 60.00% |
Dye-Sect vs Alisa | 10–12 | 45.45% |
Dye-Sect vs Nina | 11–11 | 50.00% |
Dye-Sect vs Shaheen | 14–6 | 70.00% |
Dye-Sect vs Raven | 9–11 | 45.00% |
Dye-Sect vs Kuma | 8–9 | 47.06% |
Dye-Sect vs Heihachi | 8–3 | 72.73% |
Dye-Sect vs Zafina | 6–4 | 60.00% |
Dye-Sect vs Panda | 2–4 | 33.33% |
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.