| Aesravana vs Jin | 19–22 | 46.34% |
| Aesravana vs Fahkumram | 18–16 | 52.94% |
| Aesravana vs Dragunov | 16–11 | 59.26% |
| Aesravana vs Law | 14–11 | 56.00% |
| Aesravana vs Armor King | 9–15 | 37.50% |
| Aesravana vs Hwoarang | 12–10 | 54.55% |
| Aesravana vs Kazuya | 14–8 | 63.64% |
| Aesravana vs Lili | 17–3 | 85.00% |
| Aesravana vs Heihachi | 9–10 | 47.37% |
| Aesravana vs King | 11–7 | 61.11% |
| Aesravana vs Yoshimitsu | 10–7 | 58.82% |
| Aesravana vs Asuka | 12–5 | 70.59% |
| Aesravana vs Victor | 10–7 | 58.82% |
| Aesravana vs Lars | 6–10 | 37.50% |
| Aesravana vs Paul | 8–6 | 57.14% |
| Aesravana vs Clive | 3–11 | 21.43% |
| Aesravana vs Jun | 3–10 | 23.08% |
| Aesravana vs Reina | 4–7 | 36.36% |
| Aesravana vs Steve | 5–5 | 50.00% |
| Aesravana vs Devil Jin | 5–5 | 50.00% |
| Aesravana vs Bryan | 8–1 | 88.89% |
| Aesravana vs Xiaoyu | 5–3 | 62.50% |
| Aesravana vs Nina | 6–2 | 75.00% |
| Aesravana vs Lidia | 3–5 | 37.50% |
| Aesravana vs Anna | 3–5 | 37.50% |
| Aesravana vs Alisa | 5–2 | 71.43% |
| Aesravana vs Leroy | 2–5 | 28.57% |
| Aesravana vs Azucena | 3–4 | 42.86% |
| Aesravana vs Leo | 3–3 | 50.00% |
| Aesravana vs Lee | 3–3 | 50.00% |
| Aesravana vs Raven | 2–4 | 33.33% |
| Aesravana vs Claudio | 0–5 | 0.00% |
| Aesravana vs Panda | 3–2 | 60.00% |
| Aesravana vs Eddy | 2–3 | 40.00% |
| Aesravana vs Zafina | 4–0 | 100.00% |
| Aesravana vs Jack-8 | 0–2 | 0.00% |
| Aesravana vs Shaheen | 1–1 | 50.00% |
| Aesravana vs Kuma | 2–0 | 100.00% |
| Aesravana vs Miary Zo | 0–2 | 0.00% |
| Aesravana vs Feng | 1–0 | 100.00% |
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.