| ElTeRoX9 vs Law | 2–5 | 28.57% |
| ElTeRoX9 vs Alisa | 3–1 | 75.00% |
| ElTeRoX9 vs Reina | 3–1 | 75.00% |
| ElTeRoX9 vs Steve | 1–2 | 33.33% |
| ElTeRoX9 vs Nina | 2–1 | 66.67% |
| ElTeRoX9 vs Lee | 2–1 | 66.67% |
| ElTeRoX9 vs Jun | 1–2 | 33.33% |
| ElTeRoX9 vs Paul | 2–0 | 100.00% |
| ElTeRoX9 vs King | 0–2 | 0.00% |
| ElTeRoX9 vs Jin | 2–0 | 100.00% |
| ElTeRoX9 vs Devil Jin | 0–2 | 0.00% |
| ElTeRoX9 vs Leo | 0–2 | 0.00% |
| ElTeRoX9 vs Heihachi | 0–2 | 0.00% |
| ElTeRoX9 vs Fahkumram | 0–2 | 0.00% |
| ElTeRoX9 vs Lili | 1–0 | 100.00% |
| ElTeRoX9 vs Dragunov | 1–0 | 100.00% |
| ElTeRoX9 vs Kuma | 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.