| AyeItsMeT vs King | 57–28 | 67.06% |
| AyeItsMeT vs Jin | 47–23 | 67.14% |
| AyeItsMeT vs Clive | 49–21 | 70.00% |
| AyeItsMeT vs Steve | 42–19 | 68.85% |
| AyeItsMeT vs Reina | 33–21 | 61.11% |
| AyeItsMeT vs Law | 35–18 | 66.04% |
| AyeItsMeT vs Bryan | 30–17 | 63.83% |
| AyeItsMeT vs Lili | 27–11 | 71.05% |
| AyeItsMeT vs Hwoarang | 29–8 | 78.38% |
| AyeItsMeT vs Kazuya | 23–14 | 62.16% |
| AyeItsMeT vs Heihachi | 16–15 | 51.61% |
| AyeItsMeT vs Asuka | 18–11 | 62.07% |
| AyeItsMeT vs Eddy | 19–10 | 65.52% |
| AyeItsMeT vs Lidia | 15–13 | 53.57% |
| AyeItsMeT vs Yoshimitsu | 17–10 | 62.96% |
| AyeItsMeT vs Azucena | 15–12 | 55.56% |
| AyeItsMeT vs Lars | 14–12 | 53.85% |
| AyeItsMeT vs Alisa | 16–10 | 61.54% |
| AyeItsMeT vs Fahkumram | 16–9 | 64.00% |
| AyeItsMeT vs Devil Jin | 14–10 | 58.33% |
| AyeItsMeT vs Jun | 12–11 | 52.17% |
| AyeItsMeT vs Paul | 11–11 | 50.00% |
| AyeItsMeT vs Feng | 13–7 | 65.00% |
| AyeItsMeT vs Lee | 10–9 | 52.63% |
| AyeItsMeT vs Nina | 14–2 | 87.50% |
| AyeItsMeT vs Leroy | 9–7 | 56.25% |
| AyeItsMeT vs Armor King | 8–8 | 50.00% |
| AyeItsMeT vs Dragunov | 5–9 | 35.71% |
| AyeItsMeT vs Leo | 9–5 | 64.29% |
| AyeItsMeT vs Jack-8 | 6–7 | 46.15% |
| AyeItsMeT vs Anna | 5–8 | 38.46% |
| AyeItsMeT vs Xiaoyu | 4–7 | 36.36% |
| AyeItsMeT vs Shaheen | 6–4 | 60.00% |
| AyeItsMeT vs Zafina | 7–3 | 70.00% |
| AyeItsMeT vs Claudio | 9–0 | 100.00% |
| AyeItsMeT vs Victor | 5–4 | 55.56% |
| AyeItsMeT vs Raven | 7–2 | 77.78% |
| AyeItsMeT vs Miary Zo | 3–1 | 75.00% |
| AyeItsMeT vs Kuma | 2–0 | 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.