NxS | Top$helf vs Kazuya | 69–74 | 48.25% |
NxS | Top$helf vs King | 81–55 | 59.56% |
NxS | Top$helf vs Hwoarang | 72–57 | 55.81% |
NxS | Top$helf vs Jin | 75–54 | 58.14% |
NxS | Top$helf vs Reina | 66–53 | 55.46% |
NxS | Top$helf vs Bryan | 51–56 | 47.66% |
NxS | Top$helf vs Law | 51–46 | 52.58% |
NxS | Top$helf vs Lee | 45–46 | 49.45% |
NxS | Top$helf vs Lili | 44–45 | 49.44% |
NxS | Top$helf vs Steve | 48–33 | 59.26% |
NxS | Top$helf vs Asuka | 39–40 | 49.37% |
NxS | Top$helf vs Paul | 35–41 | 46.05% |
NxS | Top$helf vs Yoshimitsu | 39–37 | 51.32% |
NxS | Top$helf vs Lars | 21–51 | 29.17% |
NxS | Top$helf vs Azucena | 35–35 | 50.00% |
NxS | Top$helf vs Clive | 35–35 | 50.00% |
NxS | Top$helf vs Dragunov | 35–33 | 51.47% |
NxS | Top$helf vs Jun | 39–24 | 61.90% |
NxS | Top$helf vs Victor | 34–28 | 54.84% |
NxS | Top$helf vs Raven | 24–34 | 41.38% |
NxS | Top$helf vs Eddy | 27–31 | 46.55% |
NxS | Top$helf vs Devil Jin | 32–25 | 56.14% |
NxS | Top$helf vs Nina | 27–28 | 49.09% |
NxS | Top$helf vs Xiaoyu | 18–34 | 34.62% |
NxS | Top$helf vs Jack-8 | 27–22 | 55.10% |
NxS | Top$helf vs Feng | 21–27 | 43.75% |
NxS | Top$helf vs Lidia | 20–21 | 48.78% |
NxS | Top$helf vs Heihachi | 7–28 | 20.00% |
NxS | Top$helf vs Alisa | 14–20 | 41.18% |
NxS | Top$helf vs Zafina | 15–14 | 51.72% |
NxS | Top$helf vs Claudio | 12–16 | 42.86% |
NxS | Top$helf vs Shaheen | 19–8 | 70.37% |
NxS | Top$helf vs Kuma | 13–14 | 48.15% |
NxS | Top$helf vs Leo | 9–16 | 36.00% |
NxS | Top$helf vs Leroy | 12–8 | 60.00% |
NxS | Top$helf vs Panda | 6–3 | 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.