| anggimochi vs Kazuya | 79–56 | 58.52% |
| anggimochi vs Dragunov | 64–61 | 51.20% |
| anggimochi vs Reina | 67–45 | 59.82% |
| anggimochi vs Paul | 62–35 | 63.92% |
| anggimochi vs Hwoarang | 54–33 | 62.07% |
| anggimochi vs Jin | 43–41 | 51.19% |
| anggimochi vs King | 39–43 | 47.56% |
| anggimochi vs Heihachi | 44–31 | 58.67% |
| anggimochi vs Lili | 38–35 | 52.05% |
| anggimochi vs Bryan | 32–36 | 47.06% |
| anggimochi vs Lidia | 33–35 | 48.53% |
| anggimochi vs Yoshimitsu | 33–27 | 55.00% |
| anggimochi vs Asuka | 23–34 | 40.35% |
| anggimochi vs Steve | 27–29 | 48.21% |
| anggimochi vs Feng | 25–31 | 44.64% |
| anggimochi vs Victor | 34–20 | 62.96% |
| anggimochi vs Clive | 25–22 | 53.19% |
| anggimochi vs Jun | 28–17 | 62.22% |
| anggimochi vs Devil Jin | 18–26 | 40.91% |
| anggimochi vs Nina | 23–19 | 54.76% |
| anggimochi vs Azucena | 19–21 | 47.50% |
| anggimochi vs Law | 24–15 | 61.54% |
| anggimochi vs Lee | 15–23 | 39.47% |
| anggimochi vs Leo | 20–16 | 55.56% |
| anggimochi vs Leroy | 20–12 | 62.50% |
| anggimochi vs Xiaoyu | 20–9 | 68.97% |
| anggimochi vs Alisa | 15–14 | 51.72% |
| anggimochi vs Claudio | 15–13 | 53.57% |
| anggimochi vs Lars | 9–13 | 40.91% |
| anggimochi vs Kuma | 7–15 | 31.82% |
| anggimochi vs Jack-8 | 13–7 | 65.00% |
| anggimochi vs Shaheen | 9–9 | 50.00% |
| anggimochi vs Raven | 7–9 | 43.75% |
| anggimochi vs Eddy | 11–4 | 73.33% |
| anggimochi vs Fahkumram | 9–5 | 64.29% |
| anggimochi vs Zafina | 6–7 | 46.15% |
| anggimochi vs Panda | 0–5 | 0.00% |
| anggimochi vs Anna | 3–2 | 60.00% |
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.