| Anubis vs Hwoarang | 28–16 | 63.64% |
| Anubis vs Kazuya | 31–12 | 72.09% |
| Anubis vs King | 28–12 | 70.00% |
| Anubis vs Bryan | 20–19 | 51.28% |
| Anubis vs Law | 26–9 | 74.29% |
| Anubis vs Steve | 26–8 | 76.47% |
| Anubis vs Paul | 27–6 | 81.82% |
| Anubis vs Jin | 21–11 | 65.62% |
| Anubis vs Reina | 19–10 | 65.52% |
| Anubis vs Lee | 18–8 | 69.23% |
| Anubis vs Xiaoyu | 10–13 | 43.48% |
| Anubis vs Asuka | 14–8 | 63.64% |
| Anubis vs Heihachi | 18–4 | 81.82% |
| Anubis vs Yoshimitsu | 14–7 | 66.67% |
| Anubis vs Lili | 14–7 | 66.67% |
| Anubis vs Jack-8 | 10–7 | 58.82% |
| Anubis vs Alisa | 9–8 | 52.94% |
| Anubis vs Jun | 9–8 | 52.94% |
| Anubis vs Dragunov | 10–6 | 62.50% |
| Anubis vs Nina | 10–5 | 66.67% |
| Anubis vs Devil Jin | 8–5 | 61.54% |
| Anubis vs Lars | 8–5 | 61.54% |
| Anubis vs Leroy | 12–1 | 92.31% |
| Anubis vs Azucena | 7–6 | 53.85% |
| Anubis vs Victor | 10–3 | 76.92% |
| Anubis vs Raven | 8–5 | 61.54% |
| Anubis vs Lidia | 6–7 | 46.15% |
| Anubis vs Leo | 8–4 | 66.67% |
| Anubis vs Clive | 5–7 | 41.67% |
| Anubis vs Feng | 7–4 | 63.64% |
| Anubis vs Shaheen | 7–4 | 63.64% |
| Anubis vs Claudio | 6–3 | 66.67% |
| Anubis vs Kuma | 5–4 | 55.56% |
| Anubis vs Zafina | 7–2 | 77.78% |
| Anubis vs Eddy | 8–1 | 88.89% |
| Anubis vs Anna | 7–1 | 87.50% |
| Anubis vs Armor King | 2–5 | 28.57% |
| Anubis 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.