| deuxismer vs Kazuya | 336–325 | 50.83% |
| deuxismer vs Paul | 217–269 | 44.65% |
| deuxismer vs Jin | 259–206 | 55.70% |
| deuxismer vs King | 207–256 | 44.71% |
| deuxismer vs Hwoarang | 227–231 | 49.56% |
| deuxismer vs Bryan | 207–209 | 49.76% |
| deuxismer vs Dragunov | 171–222 | 43.51% |
| deuxismer vs Reina | 209–178 | 54.01% |
| deuxismer vs Asuka | 197–181 | 52.12% |
| deuxismer vs Yoshimitsu | 187–179 | 51.09% |
| deuxismer vs Lili | 185–178 | 50.96% |
| deuxismer vs Steve | 172–185 | 48.18% |
| deuxismer vs Law | 133–158 | 45.70% |
| deuxismer vs Azucena | 131–136 | 49.06% |
| deuxismer vs Jun | 122–142 | 46.21% |
| deuxismer vs Devil Jin | 112–142 | 44.09% |
| deuxismer vs Victor | 88–164 | 34.92% |
| deuxismer vs Lars | 108–127 | 45.96% |
| deuxismer vs Alisa | 111–109 | 50.45% |
| deuxismer vs Xiaoyu | 82–136 | 37.61% |
| deuxismer vs Feng | 75–138 | 35.21% |
| deuxismer vs Nina | 104–106 | 49.52% |
| deuxismer vs Jack-8 | 100–101 | 49.75% |
| deuxismer vs Leroy | 84–109 | 43.52% |
| deuxismer vs Lee | 109–80 | 57.67% |
| deuxismer vs Heihachi | 86–100 | 46.24% |
| deuxismer vs Claudio | 81–99 | 45.00% |
| deuxismer vs Leo | 78–100 | 43.82% |
| deuxismer vs Lidia | 81–85 | 48.80% |
| deuxismer vs Raven | 95–70 | 57.58% |
| deuxismer vs Eddy | 79–80 | 49.69% |
| deuxismer vs Shaheen | 61–64 | 48.80% |
| deuxismer vs Zafina | 42–57 | 42.42% |
| deuxismer vs Fahkumram | 51–44 | 53.68% |
| deuxismer vs Kuma | 38–53 | 41.76% |
| deuxismer vs Anna | 39–52 | 42.86% |
| deuxismer vs Clive | 36–42 | 46.15% |
| deuxismer vs Panda | 24–25 | 48.98% |
| deuxismer vs Armor King | 14–15 | 48.28% |
| deuxismer vs Miary Zo | 5–4 | 55.56% |
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.