IveNoSkillz vs Kazuya | 19–40 | 32.20% |
IveNoSkillz vs Reina | 27–28 | 49.09% |
IveNoSkillz vs Jin | 24–23 | 51.06% |
IveNoSkillz vs Yoshimitsu | 21–19 | 52.50% |
IveNoSkillz vs Bryan | 20–17 | 54.05% |
IveNoSkillz vs Dragunov | 21–16 | 56.76% |
IveNoSkillz vs King | 19–15 | 55.88% |
IveNoSkillz vs Law | 21–12 | 63.64% |
IveNoSkillz vs Azucena | 17–15 | 53.12% |
IveNoSkillz vs Hwoarang | 22–9 | 70.97% |
IveNoSkillz vs Lee | 14–15 | 48.28% |
IveNoSkillz vs Paul | 11–15 | 42.31% |
IveNoSkillz vs Lili | 12–11 | 52.17% |
IveNoSkillz vs Heihachi | 11–12 | 47.83% |
IveNoSkillz vs Feng | 10–7 | 58.82% |
IveNoSkillz vs Victor | 6–11 | 35.29% |
IveNoSkillz vs Leroy | 8–8 | 50.00% |
IveNoSkillz vs Devil Jin | 8–7 | 53.33% |
IveNoSkillz vs Kuma | 4–11 | 26.67% |
IveNoSkillz vs Asuka | 9–5 | 64.29% |
IveNoSkillz vs Nina | 7–6 | 53.85% |
IveNoSkillz vs Clive | 10–3 | 76.92% |
IveNoSkillz vs Xiaoyu | 6–6 | 50.00% |
IveNoSkillz vs Steve | 9–3 | 75.00% |
IveNoSkillz vs Lars | 5–7 | 41.67% |
IveNoSkillz vs Raven | 4–6 | 40.00% |
IveNoSkillz vs Eddy | 1–9 | 10.00% |
IveNoSkillz vs Jun | 5–4 | 55.56% |
IveNoSkillz vs Alisa | 4–4 | 50.00% |
IveNoSkillz vs Claudio | 4–4 | 50.00% |
IveNoSkillz vs Lidia | 5–3 | 62.50% |
IveNoSkillz vs Jack-8 | 5–2 | 71.43% |
IveNoSkillz vs Leo | 1–3 | 25.00% |
IveNoSkillz vs Shaheen | 2–1 | 66.67% |
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.