| Sagist vs Kazuya | 308–322 | 48.89% |
| Sagist vs Bryan | 276–318 | 46.46% |
| Sagist vs Jin | 256–250 | 50.59% |
| Sagist vs Dragunov | 210–264 | 44.30% |
| Sagist vs Asuka | 263–193 | 57.68% |
| Sagist vs Paul | 196–246 | 44.34% |
| Sagist vs Reina | 230–203 | 53.12% |
| Sagist vs King | 230–194 | 54.25% |
| Sagist vs Hwoarang | 199–199 | 50.00% |
| Sagist vs Steve | 176–185 | 48.75% |
| Sagist vs Lidia | 189–163 | 53.69% |
| Sagist vs Heihachi | 197–152 | 56.45% |
| Sagist vs Law | 168–175 | 48.98% |
| Sagist vs Lili | 155–186–1 | 45.45% |
| Sagist vs Jun | 145–159 | 47.70% |
| Sagist vs Nina | 136–132 | 50.75% |
| Sagist vs Azucena | 136–132 | 50.75% |
| Sagist vs Xiaoyu | 130–113 | 53.50% |
| Sagist vs Feng | 121–119 | 50.42% |
| Sagist vs Devil Jin | 115–120 | 48.94% |
| Sagist vs Lee | 114–112 | 50.44% |
| Sagist vs Claudio | 105–114 | 47.95% |
| Sagist vs Jack-8 | 110–105 | 51.16% |
| Sagist vs Yoshimitsu | 100–114 | 46.73% |
| Sagist vs Clive | 91–120 | 43.13% |
| Sagist vs Victor | 105–102 | 50.72% |
| Sagist vs Lars | 85–106 | 44.50% |
| Sagist vs Fahkumram | 81–110 | 42.41% |
| Sagist vs Anna | 92–92 | 50.00% |
| Sagist vs Alisa | 76–104 | 42.22% |
| Sagist vs Armor King | 82–97 | 45.81% |
| Sagist vs Leo | 74–101 | 42.29% |
| Sagist vs Leroy | 81–93 | 46.55% |
| Sagist vs Shaheen | 67–72 | 48.20% |
| Sagist vs Eddy | 64–71 | 47.41% |
| Sagist vs Miary Zo | 63–70 | 47.37% |
| Sagist vs Zafina | 50–49 | 50.51% |
| Sagist vs Raven | 42–57 | 42.42% |
| Sagist vs Kuma | 35–51 | 40.70% |
| Sagist vs Panda | 34–33 | 50.75% |
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.