iAmLegend vs Kazuya | 61–51 | 54.46% |
iAmLegend vs Bryan | 45–54 | 45.45% |
iAmLegend vs King | 62–36 | 63.27% |
iAmLegend vs Jin | 53–45 | 54.08% |
iAmLegend vs Reina | 54–31 | 63.53% |
iAmLegend vs Steve | 52–28 | 65.00% |
iAmLegend vs Dragunov | 41–38 | 51.90% |
iAmLegend vs Lidia | 42–36 | 53.85% |
iAmLegend vs Yoshimitsu | 28–37 | 43.08% |
iAmLegend vs Azucena | 33–27 | 55.00% |
iAmLegend vs Hwoarang | 32–23 | 58.18% |
iAmLegend vs Lili | 26–28 | 48.15% |
iAmLegend vs Lee | 22–28 | 44.00% |
iAmLegend vs Eddy | 25–25 | 50.00% |
iAmLegend vs Paul | 22–27 | 44.90% |
iAmLegend vs Leo | 20–29 | 40.82% |
iAmLegend vs Jun | 29–20 | 59.18% |
iAmLegend vs Victor | 25–21 | 54.35% |
iAmLegend vs Raven | 23–21 | 52.27% |
iAmLegend vs Lars | 27–16 | 62.79% |
iAmLegend vs Xiaoyu | 11–28 | 28.21% |
iAmLegend vs Nina | 17–22 | 43.59% |
iAmLegend vs Law | 20–18 | 52.63% |
iAmLegend vs Alisa | 17–21 | 44.74% |
iAmLegend vs Leroy | 17–20 | 45.95% |
iAmLegend vs Jack-8 | 15–20 | 42.86% |
iAmLegend vs Asuka | 17–14 | 54.84% |
iAmLegend vs Feng | 15–16 | 48.39% |
iAmLegend vs Heihachi | 11–19 | 36.67% |
iAmLegend vs Devil Jin | 12–10 | 54.55% |
iAmLegend vs Claudio | 13–7 | 65.00% |
iAmLegend vs Kuma | 9–11 | 45.00% |
iAmLegend vs Shaheen | 6–8 | 42.86% |
iAmLegend vs Zafina | 3–8 | 27.27% |
iAmLegend vs Panda | 1–1 | 50.00% |
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.