lxl ItGma lxl vs Jin | 210–141 | 59.83% |
lxl ItGma lxl vs Hwoarang | 147–98 | 60.00% |
lxl ItGma lxl vs Kazuya | 143–101 | 58.61% |
lxl ItGma lxl vs Bryan | 137–100 | 57.81% |
lxl ItGma lxl vs Law | 143–86 | 62.45% |
lxl ItGma lxl vs King | 146–83 | 63.76% |
lxl ItGma lxl vs Lars | 133–80 | 62.44% |
lxl ItGma lxl vs Lili | 119–87 | 57.77% |
lxl ItGma lxl vs Steve | 117–88 | 57.07% |
lxl ItGma lxl vs Jun | 94–96 | 49.47% |
lxl ItGma lxl vs Dragunov | 104–77 | 57.46% |
lxl ItGma lxl vs Reina | 118–62 | 65.56% |
lxl ItGma lxl vs Yoshimitsu | 97–82 | 54.19% |
lxl ItGma lxl vs Lee | 121–57 | 67.98% |
lxl ItGma lxl vs Paul | 112–61 | 64.74% |
lxl ItGma lxl vs Azucena | 106–66 | 61.63% |
lxl ItGma lxl vs Devil Jin | 85–74 | 53.46% |
lxl ItGma lxl vs Feng | 92–65 | 58.60% |
lxl ItGma lxl vs Asuka | 86–60 | 58.90% |
lxl ItGma lxl vs Xiaoyu | 97–48 | 66.90% |
lxl ItGma lxl vs Eddy | 92–41 | 69.17% |
lxl ItGma lxl vs Nina | 86–46 | 65.15% |
lxl ItGma lxl vs Raven | 81–47 | 63.28% |
lxl ItGma lxl vs Alisa | 73–46 | 61.34% |
lxl ItGma lxl vs Clive | 54–60 | 47.37% |
lxl ItGma lxl vs Leo | 70–43 | 61.95% |
lxl ItGma lxl vs Leroy | 62–46 | 57.41% |
lxl ItGma lxl vs Victor | 68–40 | 62.96% |
lxl ItGma lxl vs Jack-8 | 60–45 | 57.14% |
lxl ItGma lxl vs Zafina | 49–50 | 49.49% |
lxl ItGma lxl vs Heihachi | 51–36 | 58.62% |
lxl ItGma lxl vs Claudio | 48–34 | 58.54% |
lxl ItGma lxl vs Kuma | 51–29 | 63.75% |
lxl ItGma lxl vs Lidia | 38–29 | 56.72% |
lxl ItGma lxl vs Shaheen | 37–29 | 56.06% |
lxl ItGma lxl vs Panda | 15–16 | 48.39% |
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.