| eスポCafe黒龍 vs Bryan | 31–21 | 59.62% |
| eスポCafe黒龍 vs Steve | 22–27 | 44.90% |
| eスポCafe黒龍 vs Dragunov | 28–20 | 58.33% |
| eスポCafe黒龍 vs Hwoarang | 20–20 | 50.00% |
| eスポCafe黒龍 vs Reina | 28–12 | 70.00% |
| eスポCafe黒龍 vs Jack-8 | 20–18 | 52.63% |
| eスポCafe黒龍 vs Victor | 20–18 | 52.63% |
| eスポCafe黒龍 vs Paul | 24–13 | 64.86% |
| eスポCafe黒龍 vs Kazuya | 20–15 | 57.14% |
| eスポCafe黒龍 vs Yoshimitsu | 17–16 | 51.52% |
| eスポCafe黒龍 vs Azucena | 18–15 | 54.55% |
| eスポCafe黒龍 vs Asuka | 20–12 | 62.50% |
| eスポCafe黒龍 vs Eddy | 12–17 | 41.38% |
| eスポCafe黒龍 vs Lars | 11–16 | 40.74% |
| eスポCafe黒龍 vs Alisa | 14–13 | 51.85% |
| eスポCafe黒龍 vs Nina | 14–12 | 53.85% |
| eスポCafe黒龍 vs Feng | 15–10 | 60.00% |
| eスポCafe黒龍 vs Jin | 13–11 | 54.17% |
| eスポCafe黒龍 vs Devil Jin | 10–12 | 45.45% |
| eスポCafe黒龍 vs Zafina | 12–10 | 54.55% |
| eスポCafe黒龍 vs Law | 10–11 | 47.62% |
| eスポCafe黒龍 vs Raven | 11–10 | 52.38% |
| eスポCafe黒龍 vs Leo | 14–6 | 70.00% |
| eスポCafe黒龍 vs Claudio | 9–11 | 45.00% |
| eスポCafe黒龍 vs Leroy | 9–11 | 45.00% |
| eスポCafe黒龍 vs Lili | 8–11 | 42.11% |
| eスポCafe黒龍 vs Jun | 12–7 | 63.16% |
| eスポCafe黒龍 vs Shaheen | 7–11 | 38.89% |
| eスポCafe黒龍 vs Kuma | 11–7 | 61.11% |
| eスポCafe黒龍 vs Xiaoyu | 9–8 | 52.94% |
| eスポCafe黒龍 vs Lee | 11–6 | 64.71% |
| eスポCafe黒龍 vs King | 8–6 | 57.14% |
| eスポCafe黒龍 vs Lidia | 1–11 | 8.33% |
| eスポCafe黒龍 vs Panda | 5–3 | 62.50% |
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.