| 黒紫館幽火＠VTuber vs Reina | 26–22 | 54.17% |
| 黒紫館幽火＠VTuber vs Dragunov | 12–19 | 38.71% |
| 黒紫館幽火＠VTuber vs Asuka | 15–15 | 50.00% |
| 黒紫館幽火＠VTuber vs Hwoarang | 10–19 | 34.48% |
| 黒紫館幽火＠VTuber vs Kazuya | 18–8 | 69.23% |
| 黒紫館幽火＠VTuber vs Azucena | 9–14 | 39.13% |
| 黒紫館幽火＠VTuber vs Paul | 8–13 | 38.10% |
| 黒紫館幽火＠VTuber vs Eddy | 7–14 | 33.33% |
| 黒紫館幽火＠VTuber vs Victor | 11–9 | 55.00% |
| 黒紫館幽火＠VTuber vs Lili | 10–9 | 52.63% |
| 黒紫館幽火＠VTuber vs King | 9–8 | 52.94% |
| 黒紫館幽火＠VTuber vs Bryan | 8–7 | 53.33% |
| 黒紫館幽火＠VTuber vs Claudio | 4–9 | 30.77% |
| 黒紫館幽火＠VTuber vs Law | 4–8 | 33.33% |
| 黒紫館幽火＠VTuber vs Lars | 7–5 | 58.33% |
| 黒紫館幽火＠VTuber vs Nina | 6–6 | 50.00% |
| 黒紫館幽火＠VTuber vs Leo | 5–6 | 45.45% |
| 黒紫館幽火＠VTuber vs Jun | 8–3 | 72.73% |
| 黒紫館幽火＠VTuber vs Kuma | 8–2 | 80.00% |
| 黒紫館幽火＠VTuber vs Jin | 7–2 | 77.78% |
| 黒紫館幽火＠VTuber vs Steve | 4–5 | 44.44% |
| 黒紫館幽火＠VTuber vs Shaheen | 4–5 | 44.44% |
| 黒紫館幽火＠VTuber vs Yoshimitsu | 4–4 | 50.00% |
| 黒紫館幽火＠VTuber vs Feng | 3–5 | 37.50% |
| 黒紫館幽火＠VTuber vs Alisa | 3–5 | 37.50% |
| 黒紫館幽火＠VTuber vs Leroy | 7–1 | 87.50% |
| 黒紫館幽火＠VTuber vs Raven | 4–4 | 50.00% |
| 黒紫館幽火＠VTuber vs Jack-8 | 4–2 | 66.67% |
| 黒紫館幽火＠VTuber vs Devil Jin | 1–4 | 20.00% |
| 黒紫館幽火＠VTuber vs Zafina | 3–2 | 60.00% |
| 黒紫館幽火＠VTuber vs Xiaoyu | 1–3 | 25.00% |
| 黒紫館幽火＠VTuber vs Lee | 0–3 | 0.00% |
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.