| Annvsh vs King | 23–45 | 33.82% |
| Annvsh vs Kazuya | 25–28 | 47.17% |
| Annvsh vs Bryan | 14–25 | 35.90% |
| Annvsh vs Dragunov | 10–27 | 27.03% |
| Annvsh vs Paul | 10–26 | 27.78% |
| Annvsh vs Jin | 16–19 | 45.71% |
| Annvsh vs Devil Jin | 5–25 | 16.67% |
| Annvsh vs Reina | 26–4 | 86.67% |
| Annvsh vs Eddy | 8–22 | 26.67% |
| Annvsh vs Victor | 13–14 | 48.15% |
| Annvsh vs Law | 17–9 | 65.38% |
| Annvsh vs Steve | 12–13 | 48.00% |
| Annvsh vs Lars | 10–9 | 52.63% |
| Annvsh vs Nina | 1–16 | 5.88% |
| Annvsh vs Asuka | 6–9 | 40.00% |
| Annvsh vs Claudio | 5–9 | 35.71% |
| Annvsh vs Hwoarang | 7–6 | 53.85% |
| Annvsh vs Alisa | 6–7 | 46.15% |
| Annvsh vs Heihachi | 3–10 | 23.08% |
| Annvsh vs Lili | 5–7 | 41.67% |
| Annvsh vs Azucena | 6–6 | 50.00% |
| Annvsh vs Yoshimitsu | 5–6 | 45.45% |
| Annvsh vs Zafina | 3–8 | 27.27% |
| Annvsh vs Jack-8 | 5–5 | 50.00% |
| Annvsh vs Leroy | 0–10 | 0.00% |
| Annvsh vs Shaheen | 4–5 | 44.44% |
| Annvsh vs Jun | 4–5 | 44.44% |
| Annvsh vs Xiaoyu | 6–2 | 75.00% |
| Annvsh vs Feng | 2–6 | 25.00% |
| Annvsh vs Lee | 3–5 | 37.50% |
| Annvsh vs Leo | 0–4 | 0.00% |
| Annvsh vs Fahkumram | 4–0 | 100.00% |
| Annvsh vs Raven | 0–3 | 0.00% |
| Annvsh vs Clive | 0–3 | 0.00% |
| Annvsh vs Armor King | 1–2 | 33.33% |
| Annvsh vs Kuma | 1–1 | 50.00% |
| Annvsh vs Panda | 0–2 | 0.00% |
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.