| MTS_Aesir vs Jin | 16–7 | 69.57% |
| MTS_Aesir vs Kazuya | 15–8 | 65.22% |
| MTS_Aesir vs King | 8–11 | 42.11% |
| MTS_Aesir vs Steve | 13–6 | 68.42% |
| MTS_Aesir vs Miary Zo | 12–6 | 66.67% |
| MTS_Aesir vs Armor King | 9–8 | 52.94% |
| MTS_Aesir vs Yoshimitsu | 12–4 | 75.00% |
| MTS_Aesir vs Law | 10–5 | 66.67% |
| MTS_Aesir vs Heihachi | 8–5 | 61.54% |
| MTS_Aesir vs Dragunov | 7–5 | 58.33% |
| MTS_Aesir vs Lili | 6–3 | 66.67% |
| MTS_Aesir vs Lars | 6–3 | 66.67% |
| MTS_Aesir vs Anna | 5–3 | 62.50% |
| MTS_Aesir vs Paul | 3–4 | 42.86% |
| MTS_Aesir vs Eddy | 3–4 | 42.86% |
| MTS_Aesir vs Clive | 3–4 | 42.86% |
| MTS_Aesir vs Bryan | 4–2 | 66.67% |
| MTS_Aesir vs Lee | 1–5 | 16.67% |
| MTS_Aesir vs Asuka | 2–3 | 40.00% |
| MTS_Aesir vs Devil Jin | 3–2 | 60.00% |
| MTS_Aesir vs Alisa | 1–4 | 20.00% |
| MTS_Aesir vs Victor | 4–1 | 80.00% |
| MTS_Aesir vs Fahkumram | 1–4 | 20.00% |
| MTS_Aesir vs Hwoarang | 0–4 | 0.00% |
| MTS_Aesir vs Reina | 4–0 | 100.00% |
| MTS_Aesir vs Lidia | 2–2 | 50.00% |
| MTS_Aesir vs Leo | 1–2 | 33.33% |
| MTS_Aesir vs Shaheen | 1–2 | 33.33% |
| MTS_Aesir vs Nina | 1–2 | 33.33% |
| MTS_Aesir vs Jun | 2–1 | 66.67% |
| MTS_Aesir vs Claudio | 0–2 | 0.00% |
| MTS_Aesir vs Leroy | 2–0 | 100.00% |
| MTS_Aesir vs Azucena | 0–2 | 0.00% |
| MTS_Aesir vs Xiaoyu | 0–1 | 0.00% |
| MTS_Aesir 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.