| SGLSGLSGL vs Paul | 169–159 | 51.52% |
| SGLSGLSGL vs Kazuya | 142–178 | 44.38% |
| SGLSGLSGL vs Dragunov | 117–175 | 40.07% |
| SGLSGLSGL vs King | 120–163 | 42.40% |
| SGLSGLSGL vs Reina | 143–128 | 52.77% |
| SGLSGLSGL vs Bryan | 108–146 | 42.52% |
| SGLSGLSGL vs Hwoarang | 104–120 | 46.43% |
| SGLSGLSGL vs Jin | 92–105 | 46.70% |
| SGLSGLSGL vs Law | 91–96 | 48.66% |
| SGLSGLSGL vs Lili | 65–94 | 40.88% |
| SGLSGLSGL vs Asuka | 57–89 | 39.04% |
| SGLSGLSGL vs Jun | 60–73 | 45.11% |
| SGLSGLSGL vs Victor | 66–67 | 49.62% |
| SGLSGLSGL vs Steve | 62–66 | 48.44% |
| SGLSGLSGL vs Yoshimitsu | 49–65 | 42.98% |
| SGLSGLSGL vs Azucena | 45–65 | 40.91% |
| SGLSGLSGL vs Leo | 48–46 | 51.06% |
| SGLSGLSGL vs Heihachi | 32–61 | 34.41% |
| SGLSGLSGL vs Lars | 36–55 | 39.56% |
| SGLSGLSGL vs Devil Jin | 23–54 | 29.87% |
| SGLSGLSGL vs Clive | 34–41 | 45.33% |
| SGLSGLSGL vs Xiaoyu | 30–42 | 41.67% |
| SGLSGLSGL vs Feng | 22–50 | 30.56% |
| SGLSGLSGL vs Eddy | 28–44 | 38.89% |
| SGLSGLSGL vs Alisa | 26–45 | 36.62% |
| SGLSGLSGL vs Lidia | 33–37 | 47.14% |
| SGLSGLSGL vs Lee | 24–42 | 36.36% |
| SGLSGLSGL vs Nina | 28–37 | 43.08% |
| SGLSGLSGL vs Claudio | 23–35 | 39.66% |
| SGLSGLSGL vs Jack-8 | 21–36 | 36.84% |
| SGLSGLSGL vs Leroy | 15–29 | 34.09% |
| SGLSGLSGL vs Raven | 19–25 | 43.18% |
| SGLSGLSGL vs Armor King | 18–24 | 42.86% |
| SGLSGLSGL vs Shaheen | 17–15 | 53.12% |
| SGLSGLSGL vs Kuma | 14–14 | 50.00% |
| SGLSGLSGL vs Zafina | 12–15 | 44.44% |
| SGLSGLSGL vs Fahkumram | 9–13 | 40.91% |
| SGLSGLSGL vs Anna | 7–9 | 43.75% |
| SGLSGLSGL vs Miary Zo | 8–5 | 61.54% |
| SGLSGLSGL vs Panda | 3–6 | 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.