| Eesa vs Kazuya | 30–47 | 38.96% |
| Eesa vs King | 51–24 | 68.00% |
| Eesa vs Jin | 31–32 | 49.21% |
| Eesa vs Reina | 27–23 | 54.00% |
| Eesa vs Law | 14–30 | 31.82% |
| Eesa vs Hwoarang | 19–21 | 47.50% |
| Eesa vs Dragunov | 14–19 | 42.42% |
| Eesa vs Steve | 21–10 | 67.74% |
| Eesa vs Lili | 12–17 | 41.38% |
| Eesa vs Lidia | 10–16 | 38.46% |
| Eesa vs Bryan | 10–15 | 40.00% |
| Eesa vs Jun | 14–10 | 58.33% |
| Eesa vs Yoshimitsu | 7–15 | 31.82% |
| Eesa vs Asuka | 8–14 | 36.36% |
| Eesa vs Feng | 9–13 | 40.91% |
| Eesa vs Heihachi | 10–11 | 47.62% |
| Eesa vs Lars | 2–16 | 11.11% |
| Eesa vs Alisa | 8–8 | 50.00% |
| Eesa vs Azucena | 6–10 | 37.50% |
| Eesa vs Nina | 10–4 | 71.43% |
| Eesa vs Victor | 6–7 | 46.15% |
| Eesa vs Lee | 4–8 | 33.33% |
| Eesa vs Eddy | 2–10 | 16.67% |
| Eesa vs Xiaoyu | 3–8 | 27.27% |
| Eesa vs Devil Jin | 4–6 | 40.00% |
| Eesa vs Kuma | 3–7 | 30.00% |
| Eesa vs Leroy | 5–5 | 50.00% |
| Eesa vs Clive | 6–4 | 60.00% |
| Eesa vs Paul | 3–5 | 37.50% |
| Eesa vs Leo | 3–5 | 37.50% |
| Eesa vs Claudio | 4–4 | 50.00% |
| Eesa vs Shaheen | 6–2 | 75.00% |
| Eesa vs Jack-8 | 3–2 | 60.00% |
| Eesa vs Panda | 5–0 | 100.00% |
| Eesa vs Zafina | 2–2 | 50.00% |
| Eesa vs Fahkumram | 1–3 | 25.00% |
| Eesa vs Raven | 0–3 | 0.00% |
| Eesa vs Anna | 0–1 | 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.