| Anvy vs Kazuya | 95–84 | 53.07% |
| Anvy vs Jin | 71–79 | 47.33% |
| Anvy vs Bryan | 67–55 | 54.92% |
| Anvy vs Hwoarang | 67–46 | 59.29% |
| Anvy vs Reina | 54–50 | 51.92% |
| Anvy vs King | 46–49 | 48.42% |
| Anvy vs Dragunov | 40–54 | 42.55% |
| Anvy vs Yoshimitsu | 34–57 | 37.36% |
| Anvy vs Law | 52–37 | 58.43% |
| Anvy vs Clive | 43–42 | 50.59% |
| Anvy vs Steve | 31–49 | 38.75% |
| Anvy vs Lee | 33–43 | 43.42% |
| Anvy vs Heihachi | 41–31 | 56.94% |
| Anvy vs Lidia | 30–36 | 45.45% |
| Anvy vs Devil Jin | 26–38 | 40.62% |
| Anvy vs Jun | 41–22 | 65.08% |
| Anvy vs Lili | 32–29 | 52.46% |
| Anvy vs Paul | 33–24–1 | 57.89% |
| Anvy vs Azucena | 26–25 | 50.98% |
| Anvy vs Lars | 20–29 | 40.82% |
| Anvy vs Xiaoyu | 22–21 | 51.16% |
| Anvy vs Nina | 26–15 | 63.41% |
| Anvy vs Asuka | 27–13 | 67.50% |
| Anvy vs Alisa | 20–16 | 55.56% |
| Anvy vs Anna | 19–14 | 57.58% |
| Anvy vs Feng | 16–15 | 51.61% |
| Anvy vs Leo | 14–13 | 51.85% |
| Anvy vs Victor | 14–13 | 51.85% |
| Anvy vs Fahkumram | 17–9 | 65.38% |
| Anvy vs Eddy | 13–9 | 59.09% |
| Anvy vs Jack-8 | 10–11 | 47.62% |
| Anvy vs Claudio | 10–10 | 50.00% |
| Anvy vs Kuma | 8–12 | 40.00% |
| Anvy vs Leroy | 11–7 | 61.11% |
| Anvy vs Zafina | 10–4 | 71.43% |
| Anvy vs Raven | 7–6 | 53.85% |
| Anvy vs Shaheen | 6–6 | 50.00% |
| Anvy vs Panda | 2–3 | 40.00% |
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.