| Sigecci vs Kazuya | 190–151 | 55.72% |
| Sigecci vs Heihachi | 176–165 | 51.61% |
| Sigecci vs Bryan | 150–94 | 61.48% |
| Sigecci vs Jin | 123–75 | 62.12% |
| Sigecci vs Reina | 111–72 | 60.66% |
| Sigecci vs Devil Jin | 68–66 | 50.75% |
| Sigecci vs Hwoarang | 84–49 | 63.16% |
| Sigecci vs Dragunov | 84–46 | 64.62% |
| Sigecci vs Law | 79–49 | 61.72% |
| Sigecci vs King | 74–53 | 58.27% |
| Sigecci vs Steve | 82–43 | 65.60% |
| Sigecci vs Paul | 68–51–1 | 57.14% |
| Sigecci vs Jun | 76–40 | 65.52% |
| Sigecci vs Armor King | 63–53 | 54.31% |
| Sigecci vs Lee | 70–45 | 60.87% |
| Sigecci vs Clive | 68–38 | 64.15% |
| Sigecci vs Lili | 62–35 | 63.92% |
| Sigecci vs Asuka | 54–40 | 57.45% |
| Sigecci vs Yoshimitsu | 44–33 | 57.14% |
| Sigecci vs Feng | 45–32 | 58.44% |
| Sigecci vs Eddy | 45–23 | 66.18% |
| Sigecci vs Nina | 37–30 | 55.22% |
| Sigecci vs Victor | 33–28 | 54.10% |
| Sigecci vs Lars | 28–31 | 47.46% |
| Sigecci vs Azucena | 27–32 | 45.76% |
| Sigecci vs Lidia | 33–21 | 61.11% |
| Sigecci vs Leroy | 32–20 | 61.54% |
| Sigecci vs Leo | 24–19 | 55.81% |
| Sigecci vs Alisa | 26–17 | 60.47% |
| Sigecci vs Jack-8 | 20–18 | 52.63% |
| Sigecci vs Kuma | 26–11 | 70.27% |
| Sigecci vs Shaheen | 17–18 | 48.57% |
| Sigecci vs Zafina | 18–17 | 51.43% |
| Sigecci vs Xiaoyu | 20–14 | 58.82% |
| Sigecci vs Raven | 19–15 | 55.88% |
| Sigecci vs Claudio | 12–20 | 37.50% |
| Sigecci vs Fahkumram | 9–16 | 36.00% |
| Sigecci vs Anna | 10–13 | 43.48% |
| Sigecci vs Miary Zo | 12–7 | 63.16% |
| Sigecci vs Panda | 7–1 | 87.50% |
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.