Maxhilton vs Kazuya | 57–78 | 42.22% |
Maxhilton vs King | 53–74 | 41.73% |
Maxhilton vs Heihachi | 44–81 | 35.20% |
Maxhilton vs Reina | 59–63 | 48.36% |
Maxhilton vs Jin | 39–69 | 36.11% |
Maxhilton vs Bryan | 39–68 | 36.45% |
Maxhilton vs Steve | 39–59 | 39.80% |
Maxhilton vs Hwoarang | 32–40 | 44.44% |
Maxhilton vs Lidia | 36–36 | 50.00% |
Maxhilton vs Law | 24–42 | 36.36% |
Maxhilton vs Dragunov | 28–38 | 42.42% |
Maxhilton vs Lili | 29–31 | 48.33% |
Maxhilton vs Asuka | 29–30 | 49.15% |
Maxhilton vs Nina | 24–34 | 41.38% |
Maxhilton vs Jun | 29–22 | 56.86% |
Maxhilton vs Paul | 26–23 | 53.06% |
Maxhilton vs Raven | 18–31 | 36.73% |
Maxhilton vs Eddy | 23–26 | 46.94% |
Maxhilton vs Victor | 14–33 | 29.79% |
Maxhilton vs Lee | 21–25 | 45.65% |
Maxhilton vs Lars | 22–23 | 48.89% |
Maxhilton vs Devil Jin | 25–18 | 58.14% |
Maxhilton vs Azucena | 23–19 | 54.76% |
Maxhilton vs Yoshimitsu | 17–24 | 41.46% |
Maxhilton vs Claudio | 17–16 | 51.52% |
Maxhilton vs Alisa | 10–21 | 32.26% |
Maxhilton vs Leo | 12–18 | 40.00% |
Maxhilton vs Xiaoyu | 11–17 | 39.29% |
Maxhilton vs Shaheen | 13–14 | 48.15% |
Maxhilton vs Leroy | 11–16 | 40.74% |
Maxhilton vs Jack-8 | 9–15 | 37.50% |
Maxhilton vs Clive | 10–13 | 43.48% |
Maxhilton vs Feng | 11–11 | 50.00% |
Maxhilton vs Kuma | 3–11 | 21.43% |
Maxhilton vs Zafina | 3–4 | 42.86% |
Maxhilton vs Panda | 0–3 | 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.