SkiffBaeless vs Kazuya | 32–35 | 47.76% |
SkiffBaeless vs Bryan | 16–42 | 27.59% |
SkiffBaeless vs King | 19–38 | 33.33% |
SkiffBaeless vs Reina | 32–25 | 56.14% |
SkiffBaeless vs Eddy | 24–27 | 47.06% |
SkiffBaeless vs Jin | 18–30 | 37.50% |
SkiffBaeless vs Azucena | 30–15 | 66.67% |
SkiffBaeless vs Steve | 26–17 | 60.47% |
SkiffBaeless vs Hwoarang | 15–24 | 38.46% |
SkiffBaeless vs Paul | 14–20 | 41.18% |
SkiffBaeless vs Yoshimitsu | 16–18 | 47.06% |
SkiffBaeless vs Dragunov | 12–21 | 36.36% |
SkiffBaeless vs Law | 14–16 | 46.67% |
SkiffBaeless vs Lili | 10–19 | 34.48% |
SkiffBaeless vs Xiaoyu | 9–15 | 37.50% |
SkiffBaeless vs Feng | 9–11 | 45.00% |
SkiffBaeless vs Victor | 13–7 | 65.00% |
SkiffBaeless vs Devil Jin | 10–9 | 52.63% |
SkiffBaeless vs Jun | 12–7 | 63.16% |
SkiffBaeless vs Lidia | 7–10 | 41.18% |
SkiffBaeless vs Asuka | 8–8 | 50.00% |
SkiffBaeless vs Lars | 6–9 | 40.00% |
SkiffBaeless vs Kuma | 11–4 | 73.33% |
SkiffBaeless vs Nina | 7–7 | 50.00% |
SkiffBaeless vs Leo | 3–10 | 23.08% |
SkiffBaeless vs Raven | 6–7 | 46.15% |
SkiffBaeless vs Alisa | 7–5 | 58.33% |
SkiffBaeless vs Claudio | 6–6 | 50.00% |
SkiffBaeless vs Leroy | 6–6 | 50.00% |
SkiffBaeless vs Lee | 3–8 | 27.27% |
SkiffBaeless vs Heihachi | 5–4 | 55.56% |
SkiffBaeless vs Jack-8 | 4–2 | 66.67% |
SkiffBaeless vs Zafina | 1–2 | 33.33% |
SkiffBaeless vs Panda | 0–2 | 0.00% |
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.