| SLS_Flawed vs Kazuya | 83–67 | 55.33% |
| SLS_Flawed vs Jin | 62–55 | 52.99% |
| SLS_Flawed vs Bryan | 51–54 | 48.57% |
| SLS_Flawed vs King | 54–49 | 52.43% |
| SLS_Flawed vs Hwoarang | 51–38 | 57.30% |
| SLS_Flawed vs Steve | 44–39 | 53.01% |
| SLS_Flawed vs Clive | 45–33 | 57.69% |
| SLS_Flawed vs Reina | 34–37 | 47.89% |
| SLS_Flawed vs Lili | 26–43 | 37.68% |
| SLS_Flawed vs Law | 28–34 | 45.16% |
| SLS_Flawed vs Paul | 36–24 | 60.00% |
| SLS_Flawed vs Eddy | 28–31 | 47.46% |
| SLS_Flawed vs Dragunov | 17–36 | 32.08% |
| SLS_Flawed vs Lars | 24–29 | 45.28% |
| SLS_Flawed vs Yoshimitsu | 16–35 | 31.37% |
| SLS_Flawed vs Victor | 19–32 | 37.25% |
| SLS_Flawed vs Lee | 26–24 | 52.00% |
| SLS_Flawed vs Lidia | 28–22 | 56.00% |
| SLS_Flawed vs Leroy | 22–27 | 44.90% |
| SLS_Flawed vs Azucena | 29–20 | 59.18% |
| SLS_Flawed vs Jun | 26–16 | 61.90% |
| SLS_Flawed vs Feng | 23–16 | 58.97% |
| SLS_Flawed vs Asuka | 20–18 | 52.63% |
| SLS_Flawed vs Heihachi | 22–15 | 59.46% |
| SLS_Flawed vs Xiaoyu | 14–22 | 38.89% |
| SLS_Flawed vs Leo | 22–14 | 61.11% |
| SLS_Flawed vs Nina | 16–17 | 48.48% |
| SLS_Flawed vs Jack-8 | 12–14 | 46.15% |
| SLS_Flawed vs Armor King | 14–10 | 58.33% |
| SLS_Flawed vs Zafina | 10–13 | 43.48% |
| SLS_Flawed vs Devil Jin | 15–6 | 71.43% |
| SLS_Flawed vs Alisa | 10–10 | 50.00% |
| SLS_Flawed vs Shaheen | 10–10 | 50.00% |
| SLS_Flawed vs Anna | 13–7 | 65.00% |
| SLS_Flawed vs Fahkumram | 9–9 | 50.00% |
| SLS_Flawed vs Miary Zo | 10–6 | 62.50% |
| SLS_Flawed vs Raven | 7–8 | 46.67% |
| SLS_Flawed vs Claudio | 8–5 | 61.54% |
| SLS_Flawed vs Kuma | 1–7 | 12.50% |
| SLS_Flawed vs Panda | 2–4 | 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.