| Sage.Khan vs Kazuya | 169–151 | 52.81% |
| Sage.Khan vs Bryan | 118–136 | 46.46% |
| Sage.Khan vs Paul | 121–126–1 | 48.99% |
| Sage.Khan vs Dragunov | 79–116 | 40.51% |
| Sage.Khan vs Reina | 71–113 | 38.59% |
| Sage.Khan vs King | 70–113 | 38.25% |
| Sage.Khan vs Fahkumram | 43–133 | 24.43% |
| Sage.Khan vs Jin | 70–82 | 46.05% |
| Sage.Khan vs Steve | 56–96 | 36.84% |
| Sage.Khan vs Hwoarang | 44–107 | 29.14% |
| Sage.Khan vs Armor King | 64–83 | 43.54% |
| Sage.Khan vs Law | 68–74 | 47.89% |
| Sage.Khan vs Heihachi | 61–71 | 46.21% |
| Sage.Khan vs Lili | 58–68 | 46.03% |
| Sage.Khan vs Asuka | 63–61 | 50.81% |
| Sage.Khan vs Anna | 46–36 | 56.10% |
| Sage.Khan vs Victor | 26–53 | 32.91% |
| Sage.Khan vs Nina | 51–27 | 65.38% |
| Sage.Khan vs Clive | 32–46 | 41.03% |
| Sage.Khan vs Yoshimitsu | 32–42 | 43.24% |
| Sage.Khan vs Azucena | 33–39 | 45.83% |
| Sage.Khan vs Lidia | 29–42 | 40.85% |
| Sage.Khan vs Devil Jin | 27–38 | 41.54% |
| Sage.Khan vs Xiaoyu | 31–29 | 51.67% |
| Sage.Khan vs Claudio | 23–31 | 42.59% |
| Sage.Khan vs Leroy | 19–35 | 35.19% |
| Sage.Khan vs Leo | 27–24 | 52.94% |
| Sage.Khan vs Jack-8 | 16–33 | 32.65% |
| Sage.Khan vs Lars | 21–28 | 42.86% |
| Sage.Khan vs Lee | 22–27 | 44.90% |
| Sage.Khan vs Jun | 16–33 | 32.65% |
| Sage.Khan vs Eddy | 20–25 | 44.44% |
| Sage.Khan vs Alisa | 12–31 | 27.91% |
| Sage.Khan vs Miary Zo | 19–23 | 45.24% |
| Sage.Khan vs Feng | 17–20 | 45.95% |
| Sage.Khan vs Shaheen | 10–14 | 41.67% |
| Sage.Khan vs Zafina | 8–14 | 36.36% |
| Sage.Khan vs Raven | 11–9 | 55.00% |
| Sage.Khan vs Panda | 7–12 | 36.84% |
| Sage.Khan vs Kuma | 5–10 | 33.33% |
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.