| blenderini vs Kazuya | 404–368 | 52.33% |
| blenderini vs Bryan | 360–360 | 50.00% |
| blenderini vs Jin | 308–368 | 45.56% |
| blenderini vs Hwoarang | 265–290 | 47.75% |
| blenderini vs Reina | 236–252 | 48.36% |
| blenderini vs King | 225–252 | 47.17% |
| blenderini vs Paul | 223–231–1 | 49.12% |
| blenderini vs Yoshimitsu | 214–206–1 | 50.95% |
| blenderini vs Steve | 189–221–1 | 46.10% |
| blenderini vs Lili | 173–238 | 42.09% |
| blenderini vs Dragunov | 208–196 | 51.49% |
| blenderini vs Lee | 218–167 | 56.62% |
| blenderini vs Devil Jin | 174–209 | 45.43% |
| blenderini vs Law | 153–210–1 | 42.15% |
| blenderini vs Heihachi | 158–166 | 48.77% |
| blenderini vs Lars | 170–134 | 55.92% |
| blenderini vs Alisa | 117–156 | 42.86% |
| blenderini vs Nina | 125–147 | 45.96% |
| blenderini vs Asuka | 137–134 | 50.55% |
| blenderini vs Xiaoyu | 127–143 | 47.04% |
| blenderini vs Feng | 129–134 | 49.05% |
| blenderini vs Jun | 107–139 | 43.50% |
| blenderini vs Jack-8 | 124–103 | 54.63% |
| blenderini vs Leroy | 119–106 | 52.89% |
| blenderini vs Zafina | 122–96 | 55.96% |
| blenderini vs Azucena | 98–113 | 46.45% |
| blenderini vs Raven | 84–124 | 40.38% |
| blenderini vs Eddy | 114–88 | 56.44% |
| blenderini vs Victor | 86–98 | 46.74% |
| blenderini vs Lidia | 90–88 | 50.56% |
| blenderini vs Leo | 82–91 | 47.40% |
| blenderini vs Claudio | 73–73 | 50.00% |
| blenderini vs Shaheen | 62–71 | 46.62% |
| blenderini vs Clive | 61–49 | 55.45% |
| blenderini vs Kuma | 44–57 | 43.56% |
| blenderini vs Anna | 36–31 | 53.73% |
| blenderini vs Fahkumram | 30–28 | 51.72% |
| blenderini vs Panda | 22–31 | 41.51% |
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.