| squibknocker vs Kazuya | 117–122 | 48.95% |
| squibknocker vs Jin | 79–95 | 45.40% |
| squibknocker vs Bryan | 93–79 | 54.07% |
| squibknocker vs King | 69–98 | 41.32% |
| squibknocker vs Reina | 92–69 | 57.14% |
| squibknocker vs Steve | 70–73 | 48.95% |
| squibknocker vs Yoshimitsu | 52–58 | 47.27% |
| squibknocker vs Hwoarang | 51–59 | 46.36% |
| squibknocker vs Dragunov | 49–60 | 44.95% |
| squibknocker vs Jun | 40–60 | 40.00% |
| squibknocker vs Paul | 51–45 | 53.12% |
| squibknocker vs Asuka | 56–35–1 | 61.54% |
| squibknocker vs Lili | 45–45 | 50.00% |
| squibknocker vs Devil Jin | 37–52 | 41.57% |
| squibknocker vs Lee | 41–44 | 48.24% |
| squibknocker vs Azucena | 42–30 | 58.33% |
| squibknocker vs Alisa | 35–36 | 49.30% |
| squibknocker vs Victor | 28–43 | 39.44% |
| squibknocker vs Law | 35–34 | 50.72% |
| squibknocker vs Xiaoyu | 27–42 | 39.13% |
| squibknocker vs Leo | 16–41 | 28.07% |
| squibknocker vs Lidia | 35–21 | 62.50% |
| squibknocker vs Lars | 23–32 | 41.82% |
| squibknocker vs Nina | 28–26 | 51.85% |
| squibknocker vs Claudio | 24–25 | 48.98% |
| squibknocker vs Jack-8 | 21–18 | 53.85% |
| squibknocker vs Kuma | 22–17 | 56.41% |
| squibknocker vs Eddy | 9–27 | 25.00% |
| squibknocker vs Feng | 17–18 | 48.57% |
| squibknocker vs Leroy | 19–16 | 54.29% |
| squibknocker vs Heihachi | 15–20 | 42.86% |
| squibknocker vs Raven | 16–15 | 51.61% |
| squibknocker vs Shaheen | 9–11 | 45.00% |
| squibknocker vs Panda | 9–11 | 45.00% |
| squibknocker vs Zafina | 4–12 | 25.00% |
| squibknocker vs Clive | 8–5 | 61.54% |
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.