| mike_arx vs Kazuya | 2–7 | 22.22% |
| mike_arx vs Azucena | 4–3 | 57.14% |
| mike_arx vs Hwoarang | 2–4 | 33.33% |
| mike_arx vs Lili | 1–5 | 16.67% |
| mike_arx vs King | 2–3 | 40.00% |
| mike_arx vs Nina | 4–1 | 80.00% |
| mike_arx vs Lee | 2–3 | 40.00% |
| mike_arx vs Victor | 0–5 | 0.00% |
| mike_arx vs Jin | 2–2 | 50.00% |
| mike_arx vs Law | 1–2 | 33.33% |
| mike_arx vs Xiaoyu | 1–2 | 33.33% |
| mike_arx vs Feng | 2–1 | 66.67% |
| mike_arx vs Raven | 1–2 | 33.33% |
| mike_arx vs Steve | 0–2 | 0.00% |
| mike_arx vs Devil Jin | 0–2 | 0.00% |
| mike_arx vs Claudio | 0–2 | 0.00% |
| mike_arx vs Shaheen | 2–0 | 100.00% |
| mike_arx vs Kuma | 0–2 | 0.00% |
| mike_arx vs Reina | 0–2 | 0.00% |
| mike_arx vs Eddy | 0–2 | 0.00% |
| mike_arx vs Zafina | 1–0 | 100.00% |
| mike_arx vs Jun | 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.