| blender64 vs King | 3–5 | 37.50% |
| blender64 vs Armor King | 2–5 | 28.57% |
| blender64 vs Eddy | 3–2 | 60.00% |
| blender64 vs Jin | 1–3 | 25.00% |
| blender64 vs Steve | 4–0 | 100.00% |
| blender64 vs Reina | 3–1 | 75.00% |
| blender64 vs Paul | 3–0 | 100.00% |
| blender64 vs Dragunov | 1–2 | 33.33% |
| blender64 vs Lee | 2–1 | 66.67% |
| blender64 vs Miary Zo | 3–0 | 100.00% |
| blender64 vs Lili | 1–1 | 50.00% |
| blender64 vs Leo | 0–2 | 0.00% |
| blender64 vs Leroy | 2–0 | 100.00% |
| blender64 vs Anna | 2–0 | 100.00% |
| blender64 vs Fahkumram | 2–0 | 100.00% |
| blender64 vs Devil Jin | 1–0 | 100.00% |
| blender64 vs Shaheen | 0–1 | 0.00% |
| blender64 vs Heihachi | 1–0 | 100.00% |
| blender64 vs Clive | 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.