| DangerSloth vs Bryan | 107–70 | 60.45% |
| DangerSloth vs Kazuya | 87–66 | 56.86% |
| DangerSloth vs King | 88–62 | 58.67% |
| DangerSloth vs Clive | 69–72 | 48.94% |
| DangerSloth vs Reina | 78–59 | 56.93% |
| DangerSloth vs Jin | 73–58 | 55.73% |
| DangerSloth vs Law | 67–58 | 53.60% |
| DangerSloth vs Hwoarang | 70–55 | 56.00% |
| DangerSloth vs Lidia | 74–50 | 59.68% |
| DangerSloth vs Steve | 70–49 | 58.82% |
| DangerSloth vs Yoshimitsu | 50–58 | 46.30% |
| DangerSloth vs Nina | 56–52 | 51.85% |
| DangerSloth vs Dragunov | 48–45 | 51.61% |
| DangerSloth vs Paul | 47–44 | 51.65% |
| DangerSloth vs Victor | 56–29 | 65.88% |
| DangerSloth vs Lee | 43–41 | 51.19% |
| DangerSloth vs Azucena | 42–34 | 55.26% |
| DangerSloth vs Feng | 47–24 | 66.20% |
| DangerSloth vs Jun | 47–23 | 67.14% |
| DangerSloth vs Devil Jin | 33–32 | 50.77% |
| DangerSloth vs Lili | 32–26 | 55.17% |
| DangerSloth vs Lars | 33–25 | 56.90% |
| DangerSloth vs Leo | 30–26 | 53.57% |
| DangerSloth vs Asuka | 27–27 | 50.00% |
| DangerSloth vs Heihachi | 28–24 | 53.85% |
| DangerSloth vs Zafina | 30–19 | 61.22% |
| DangerSloth vs Xiaoyu | 30–18 | 62.50% |
| DangerSloth vs Claudio | 24–21 | 53.33% |
| DangerSloth vs Alisa | 26–18 | 59.09% |
| DangerSloth vs Leroy | 26–18 | 59.09% |
| DangerSloth vs Jack-8 | 21–19 | 52.50% |
| DangerSloth vs Shaheen | 25–14 | 64.10% |
| DangerSloth vs Eddy | 26–11 | 70.27% |
| DangerSloth vs Kuma | 18–8 | 69.23% |
| DangerSloth vs Raven | 13–10 | 56.52% |
| DangerSloth vs Panda | 4–4 | 50.00% |
| DangerSloth vs Anna | 3–2 | 60.00% |
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.