| scythe9 vs Kazuya | 234–217 | 51.88% |
| scythe9 vs Jin | 177–203 | 46.58% |
| scythe9 vs Bryan | 156–183 | 46.02% |
| scythe9 vs Reina | 142–186 | 43.29% |
| scythe9 vs King | 179–147 | 54.91% |
| scythe9 vs Heihachi | 135–155 | 46.55% |
| scythe9 vs Hwoarang | 110–144 | 43.31% |
| scythe9 vs Yoshimitsu | 109–118 | 48.02% |
| scythe9 vs Dragunov | 121–106 | 53.30% |
| scythe9 vs Paul | 98–126 | 43.75% |
| scythe9 vs Steve | 97–113 | 46.19% |
| scythe9 vs Law | 98–111 | 46.89% |
| scythe9 vs Jun | 73–91 | 44.51% |
| scythe9 vs Lili | 82–80 | 50.62% |
| scythe9 vs Clive | 61–84 | 42.07% |
| scythe9 vs Lidia | 64–78 | 45.07% |
| scythe9 vs Devil Jin | 57–83 | 40.71% |
| scythe9 vs Asuka | 62–75 | 45.26% |
| scythe9 vs Lee | 60–75 | 44.44% |
| scythe9 vs Armor King | 65–60 | 52.00% |
| scythe9 vs Azucena | 45–76 | 37.19% |
| scythe9 vs Lars | 50–69 | 42.02% |
| scythe9 vs Xiaoyu | 43–62 | 40.95% |
| scythe9 vs Victor | 54–50 | 51.92% |
| scythe9 vs Alisa | 35–65 | 35.00% |
| scythe9 vs Eddy | 48–50 | 48.98% |
| scythe9 vs Feng | 43–54 | 44.33% |
| scythe9 vs Nina | 49–46 | 51.58% |
| scythe9 vs Anna | 40–54 | 42.55% |
| scythe9 vs Fahkumram | 37–52 | 41.57% |
| scythe9 vs Jack-8 | 32–51 | 38.55% |
| scythe9 vs Raven | 37–38 | 49.33% |
| scythe9 vs Leo | 37–33 | 52.86% |
| scythe9 vs Claudio | 23–45 | 33.82% |
| scythe9 vs Leroy | 21–46 | 31.34% |
| scythe9 vs Shaheen | 17–24 | 41.46% |
| scythe9 vs Kuma | 15–22 | 40.54% |
| scythe9 vs Zafina | 14–19 | 42.42% |
| scythe9 vs Miary Zo | 11–21 | 34.38% |
| scythe9 vs Panda | 10–13 | 43.48% |
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.