| SageKrisco813 vs Jin | 84–47 | 64.12% |
| SageKrisco813 vs King | 55–36 | 60.44% |
| SageKrisco813 vs Dragunov | 66–22 | 75.00% |
| SageKrisco813 vs Law | 64–18–1 | 78.05% |
| SageKrisco813 vs Hwoarang | 53–29 | 64.63% |
| SageKrisco813 vs Steve | 58–23 | 71.60% |
| SageKrisco813 vs Paul | 41–29 | 58.57% |
| SageKrisco813 vs Lili | 39–29 | 57.35% |
| SageKrisco813 vs Eddy | 44–24 | 64.71% |
| SageKrisco813 vs Kazuya | 46–19 | 70.77% |
| SageKrisco813 vs Jun | 31–34 | 47.69% |
| SageKrisco813 vs Yoshimitsu | 28–33 | 45.90% |
| SageKrisco813 vs Reina | 48–13 | 78.69% |
| SageKrisco813 vs Nina | 37–21 | 63.79% |
| SageKrisco813 vs Lee | 32–24 | 57.14% |
| SageKrisco813 vs Feng | 28–26 | 51.85% |
| SageKrisco813 vs Lars | 30–24 | 55.56% |
| SageKrisco813 vs Bryan | 31–21 | 59.62% |
| SageKrisco813 vs Zafina | 27–24 | 52.94% |
| SageKrisco813 vs Raven | 33–18 | 64.71% |
| SageKrisco813 vs Devil Jin | 32–18 | 64.00% |
| SageKrisco813 vs Asuka | 25–23 | 52.08% |
| SageKrisco813 vs Victor | 28–20 | 58.33% |
| SageKrisco813 vs Jack-8 | 23–21 | 52.27% |
| SageKrisco813 vs Leo | 29–14 | 67.44% |
| SageKrisco813 vs Shaheen | 24–18 | 57.14% |
| SageKrisco813 vs Leroy | 33–7 | 82.50% |
| SageKrisco813 vs Azucena | 27–12 | 69.23% |
| SageKrisco813 vs Xiaoyu | 28–10 | 73.68% |
| SageKrisco813 vs Alisa | 14–23 | 37.84% |
| SageKrisco813 vs Kuma | 12–22 | 35.29% |
| SageKrisco813 vs Claudio | 18–7 | 72.00% |
| SageKrisco813 vs Heihachi | 18–7 | 72.00% |
| SageKrisco813 vs Clive | 12–6 | 66.67% |
| SageKrisco813 vs Lidia | 14–3 | 82.35% |
| SageKrisco813 vs Panda | 9–7 | 56.25% |
| SageKrisco813 vs Anna | 9–3 | 75.00% |
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.