| E1Meezz vs Steve | 29–20 | 59.18% |
| E1Meezz vs Kazuya | 15–17 | 46.88% |
| E1Meezz vs King | 9–19 | 32.14% |
| E1Meezz vs Jin | 15–9 | 62.50% |
| E1Meezz vs Victor | 14–8 | 63.64% |
| E1Meezz vs Armor King | 5–15 | 25.00% |
| E1Meezz vs Lili | 5–13 | 27.78% |
| E1Meezz vs Law | 12–5 | 70.59% |
| E1Meezz vs Lars | 10–7 | 58.82% |
| E1Meezz vs Miary Zo | 10–6 | 62.50% |
| E1Meezz vs Bryan | 8–6 | 57.14% |
| E1Meezz vs Clive | 11–3 | 78.57% |
| E1Meezz vs Leroy | 5–7 | 41.67% |
| E1Meezz vs Eddy | 3–8 | 27.27% |
| E1Meezz vs Paul | 5–5 | 50.00% |
| E1Meezz vs Lee | 8–2 | 80.00% |
| E1Meezz vs Yoshimitsu | 4–5 | 44.44% |
| E1Meezz vs Hwoarang | 6–3 | 66.67% |
| E1Meezz vs Kuma | 2–7 | 22.22% |
| E1Meezz vs Reina | 6–3 | 66.67% |
| E1Meezz vs Lidia | 4–5 | 44.44% |
| E1Meezz vs Jun | 2–5 | 28.57% |
| E1Meezz vs Fahkumram | 5–2 | 71.43% |
| E1Meezz vs Xiaoyu | 4–2 | 66.67% |
| E1Meezz vs Devil Jin | 2–4 | 33.33% |
| E1Meezz vs Dragunov | 2–4 | 33.33% |
| E1Meezz vs Leo | 1–5 | 16.67% |
| E1Meezz vs Raven | 2–4 | 33.33% |
| E1Meezz vs Heihachi | 2–4 | 33.33% |
| E1Meezz vs Azucena | 0–4 | 0.00% |
| E1Meezz vs Anna | 4–0 | 100.00% |
| E1Meezz vs Asuka | 0–2 | 0.00% |
| E1Meezz vs Alisa | 1–1 | 50.00% |
| E1Meezz vs Claudio | 1–1 | 50.00% |
| E1Meezz vs Shaheen | 2–0 | 100.00% |
| E1Meezz vs Nina | 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.