Noodlehater vs King | 35–25 | 58.33% |
Noodlehater vs Reina | 31–27 | 53.45% |
Noodlehater vs Dragunov | 34–21 | 61.82% |
Noodlehater vs Paul | 27–17 | 61.36% |
Noodlehater vs Kazuya | 23–21 | 52.27% |
Noodlehater vs Bryan | 15–19 | 44.12% |
Noodlehater vs Lidia | 17–17 | 50.00% |
Noodlehater vs Hwoarang | 19–11 | 63.33% |
Noodlehater vs Law | 15–14 | 51.72% |
Noodlehater vs Jun | 18–11 | 62.07% |
Noodlehater vs Jin | 13–13 | 50.00% |
Noodlehater vs Victor | 11–15 | 42.31% |
Noodlehater vs Feng | 13–12 | 52.00% |
Noodlehater vs Steve | 10–13 | 43.48% |
Noodlehater vs Asuka | 11–11 | 50.00% |
Noodlehater vs Devil Jin | 9–13 | 40.91% |
Noodlehater vs Lili | 13–9 | 59.09% |
Noodlehater vs Lee | 10–11 | 47.62% |
Noodlehater vs Yoshimitsu | 8–12 | 40.00% |
Noodlehater vs Claudio | 8–12 | 40.00% |
Noodlehater vs Azucena | 9–11 | 45.00% |
Noodlehater vs Alisa | 12–6 | 66.67% |
Noodlehater vs Leo | 9–8 | 52.94% |
Noodlehater vs Lars | 7–7 | 50.00% |
Noodlehater vs Leroy | 7–6 | 53.85% |
Noodlehater vs Eddy | 9–4 | 69.23% |
Noodlehater vs Raven | 8–4 | 66.67% |
Noodlehater vs Xiaoyu | 7–3 | 70.00% |
Noodlehater vs Shaheen | 6–3 | 66.67% |
Noodlehater vs Kuma | 6–3 | 66.67% |
Noodlehater vs Jack-8 | 4–4 | 50.00% |
Noodlehater vs Nina | 3–4 | 42.86% |
Noodlehater vs Zafina | 3–2 | 60.00% |
Noodlehater 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.