| ScreaM vs Dragunov | 500–409 | 55.01% |
| ScreaM vs Kazuya | 464–368 | 55.77% |
| ScreaM vs Bryan | 461–343 | 57.34% |
| ScreaM vs Hwoarang | 418–307 | 57.66% |
| ScreaM vs Steve | 354–310 | 53.31% |
| ScreaM vs Jin | 333–248 | 57.31% |
| ScreaM vs King | 261–218 | 54.49% |
| ScreaM vs Paul | 250–214 | 53.88% |
| ScreaM vs Victor | 253–185 | 57.76% |
| ScreaM vs Devil Jin | 223–191 | 53.86% |
| ScreaM vs Heihachi | 198–196 | 50.25% |
| ScreaM vs Lars | 202–189 | 51.66% |
| ScreaM vs Asuka | 161–217 | 42.59% |
| ScreaM vs Feng | 186–172 | 51.96% |
| ScreaM vs Law | 197–159 | 55.34% |
| ScreaM vs Jack-8 | 148–208 | 41.57% |
| ScreaM vs Leroy | 227–115 | 66.37% |
| ScreaM vs Yoshimitsu | 173–167 | 50.88% |
| ScreaM vs Azucena | 182–150 | 54.82% |
| ScreaM vs Reina | 185–134 | 57.99% |
| ScreaM vs Claudio | 149–162 | 47.91% |
| ScreaM vs Lee | 138–157 | 46.78% |
| ScreaM vs Lidia | 156–125 | 55.52% |
| ScreaM vs Shaheen | 148–120 | 55.22% |
| ScreaM vs Jun | 124–142 | 46.62% |
| ScreaM vs Lili | 125–118 | 51.44% |
| ScreaM vs Clive | 123–112–1 | 52.34% |
| ScreaM vs Xiaoyu | 105–119 | 46.88% |
| ScreaM vs Raven | 104–119 | 46.64% |
| ScreaM vs Nina | 103–99 | 50.99% |
| ScreaM vs Alisa | 90–104 | 46.39% |
| ScreaM vs Kuma | 91–92 | 49.73% |
| ScreaM vs Zafina | 88–95 | 48.09% |
| ScreaM vs Armor King | 90–87 | 50.85% |
| ScreaM vs Leo | 90–85 | 51.43% |
| ScreaM vs Eddy | 81–91 | 47.09% |
| ScreaM vs Fahkumram | 71–89 | 44.38% |
| ScreaM vs Anna | 76–82 | 48.10% |
| ScreaM vs Miary Zo | 60–56 | 51.72% |
| ScreaM vs Panda | 43–58 | 42.57% |
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.