| prodbymekar vs Jin | 15–15 | 50.00% |
| prodbymekar vs Kazuya | 16–8 | 66.67% |
| prodbymekar vs Bryan | 14–7 | 66.67% |
| prodbymekar vs Reina | 8–9 | 47.06% |
| prodbymekar vs Eddy | 6–10 | 37.50% |
| prodbymekar vs Hwoarang | 5–10 | 33.33% |
| prodbymekar vs King | 5–9 | 35.71% |
| prodbymekar vs Heihachi | 6–8 | 42.86% |
| prodbymekar vs Devil Jin | 9–4 | 69.23% |
| prodbymekar vs Kuma | 8–5 | 61.54% |
| prodbymekar vs Clive | 9–4 | 69.23% |
| prodbymekar vs Paul | 1–10 | 9.09% |
| prodbymekar vs Yoshimitsu | 8–3 | 72.73% |
| prodbymekar vs Law | 6–4 | 60.00% |
| prodbymekar vs Lidia | 4–6 | 40.00% |
| prodbymekar vs Jun | 4–5 | 44.44% |
| prodbymekar vs Asuka | 5–3 | 62.50% |
| prodbymekar vs Dragunov | 3–4 | 42.86% |
| prodbymekar vs Lili | 3–3 | 50.00% |
| prodbymekar vs Azucena | 3–3 | 50.00% |
| prodbymekar vs Xiaoyu | 3–2 | 60.00% |
| prodbymekar vs Lee | 3–2 | 60.00% |
| prodbymekar vs Leroy | 3–2 | 60.00% |
| prodbymekar vs Steve | 0–4 | 0.00% |
| prodbymekar vs Leo | 2–2 | 50.00% |
| prodbymekar vs Zafina | 3–1 | 75.00% |
| prodbymekar vs Feng | 2–1 | 66.67% |
| prodbymekar vs Claudio | 1–2 | 33.33% |
| prodbymekar vs Fahkumram | 3–0 | 100.00% |
| prodbymekar vs Lars | 0–2 | 0.00% |
| prodbymekar vs Raven | 2–0 | 100.00% |
| prodbymekar vs Alisa | 0–1 | 0.00% |
| prodbymekar vs Nina | 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.