| anggimozzi vs Hwoarang | 101–82 | 55.19% |
| anggimozzi vs Dragunov | 82–65 | 55.78% |
| anggimozzi vs Kazuya | 60–84 | 41.67% |
| anggimozzi vs Paul | 56–46 | 54.90% |
| anggimozzi vs Bryan | 45–56 | 44.55% |
| anggimozzi vs Reina | 39–60 | 39.39% |
| anggimozzi vs King | 50–44 | 53.19% |
| anggimozzi vs Jin | 39–51 | 43.33% |
| anggimozzi vs Steve | 37–40 | 48.05% |
| anggimozzi vs Lili | 39–34 | 53.42% |
| anggimozzi vs Asuka | 34–35 | 49.28% |
| anggimozzi vs Azucena | 39–27 | 59.09% |
| anggimozzi vs Victor | 31–31 | 50.00% |
| anggimozzi vs Feng | 28–33 | 45.90% |
| anggimozzi vs Alisa | 31–30 | 50.82% |
| anggimozzi vs Yoshimitsu | 26–34 | 43.33% |
| anggimozzi vs Law | 18–40 | 31.03% |
| anggimozzi vs Jun | 26–24 | 52.00% |
| anggimozzi vs Lidia | 23–25 | 47.92% |
| anggimozzi vs Lars | 21–23 | 47.73% |
| anggimozzi vs Nina | 19–22 | 46.34% |
| anggimozzi vs Heihachi | 18–23 | 43.90% |
| anggimozzi vs Lee | 21–18 | 53.85% |
| anggimozzi vs Leroy | 19–20 | 48.72% |
| anggimozzi vs Leo | 19–19 | 50.00% |
| anggimozzi vs Claudio | 14–22 | 38.89% |
| anggimozzi vs Xiaoyu | 21–12 | 63.64% |
| anggimozzi vs Eddy | 13–19 | 40.62% |
| anggimozzi vs Jack-8 | 10–21 | 32.26% |
| anggimozzi vs Devil Jin | 7–22 | 24.14% |
| anggimozzi vs Kuma | 17–12 | 58.62% |
| anggimozzi vs Shaheen | 16–6 | 72.73% |
| anggimozzi vs Clive | 10–11 | 47.62% |
| anggimozzi vs Zafina | 3–11 | 21.43% |
| anggimozzi vs Raven | 6–6 | 50.00% |
| anggimozzi vs Fahkumram | 5–4 | 55.56% |
| anggimozzi vs Anna | 3–4 | 42.86% |
| anggimozzi vs Panda | 3–1 | 75.00% |
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.