Noob4sale vs Eddy | 17–28 | 37.78% |
Noob4sale vs Kazuya | 15–20 | 42.86% |
Noob4sale vs Jin | 11–21 | 34.38% |
Noob4sale vs Bryan | 15–17 | 46.88% |
Noob4sale vs Law | 12–19 | 38.71% |
Noob4sale vs Hwoarang | 14–16 | 46.67% |
Noob4sale vs Jun | 15–15 | 50.00% |
Noob4sale vs Lili | 7–19 | 26.92% |
Noob4sale vs King | 8–17 | 32.00% |
Noob4sale vs Yoshimitsu | 10–12 | 45.45% |
Noob4sale vs Lee | 11–11 | 50.00% |
Noob4sale vs Reina | 14–8 | 63.64% |
Noob4sale vs Victor | 8–12 | 40.00% |
Noob4sale vs Lars | 11–8 | 57.89% |
Noob4sale vs Steve | 7–11 | 38.89% |
Noob4sale vs Nina | 10–7 | 58.82% |
Noob4sale vs Asuka | 4–12 | 25.00% |
Noob4sale vs Dragunov | 8–6 | 57.14% |
Noob4sale vs Leo | 5–9 | 35.71% |
Noob4sale vs Xiaoyu | 5–8 | 38.46% |
Noob4sale vs Devil Jin | 3–10 | 23.08% |
Noob4sale vs Alisa | 7–6 | 53.85% |
Noob4sale vs Leroy | 4–7 | 36.36% |
Noob4sale vs Jack-8 | 4–4 | 50.00% |
Noob4sale vs Raven | 4–4 | 50.00% |
Noob4sale vs Paul | 3–4 | 42.86% |
Noob4sale vs Kuma | 3–4 | 42.86% |
Noob4sale vs Lidia | 4–3 | 57.14% |
Noob4sale vs Feng | 5–1 | 83.33% |
Noob4sale vs Claudio | 3–3 | 50.00% |
Noob4sale vs Clive | 2–4 | 33.33% |
Noob4sale vs Zafina | 2–3 | 40.00% |
Noob4sale vs Panda | 2–2 | 50.00% |
Noob4sale vs Azucena | 1–3 | 25.00% |
Noob4sale vs Heihachi | 0–2 | 0.00% |
Noob4sale vs Shaheen | 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.