TCL| A.Sabroso vs King | 94–79 | 54.34% |
TCL| A.Sabroso vs Jin | 98–62 | 61.25% |
TCL| A.Sabroso vs Hwoarang | 78–63 | 55.32% |
TCL| A.Sabroso vs Kazuya | 66–71 | 48.18% |
TCL| A.Sabroso vs Steve | 70–64 | 52.24% |
TCL| A.Sabroso vs Yoshimitsu | 48–65 | 42.48% |
TCL| A.Sabroso vs Bryan | 53–56 | 48.62% |
TCL| A.Sabroso vs Lili | 49–57 | 46.23% |
TCL| A.Sabroso vs Law | 60–45 | 57.14% |
TCL| A.Sabroso vs Reina | 49–55 | 47.12% |
TCL| A.Sabroso vs Paul | 47–40 | 54.02% |
TCL| A.Sabroso vs Jun | 47–37 | 55.95% |
TCL| A.Sabroso vs Lee | 37–44 | 45.68% |
TCL| A.Sabroso vs Asuka | 46–34 | 57.50% |
TCL| A.Sabroso vs Azucena | 35–43 | 44.87% |
TCL| A.Sabroso vs Lars | 42–35 | 54.55% |
TCL| A.Sabroso vs Eddy | 42–30 | 58.33% |
TCL| A.Sabroso vs Dragunov | 39–30 | 56.52% |
TCL| A.Sabroso vs Nina | 22–35 | 38.60% |
TCL| A.Sabroso vs Feng | 26–30 | 46.43% |
TCL| A.Sabroso vs Xiaoyu | 35–20 | 63.64% |
TCL| A.Sabroso vs Lidia | 34–21 | 61.82% |
TCL| A.Sabroso vs Victor | 26–20 | 56.52% |
TCL| A.Sabroso vs Raven | 18–28 | 39.13% |
TCL| A.Sabroso vs Alisa | 24–20 | 54.55% |
TCL| A.Sabroso vs Zafina | 18–26 | 40.91% |
TCL| A.Sabroso vs Devil Jin | 20–23 | 46.51% |
TCL| A.Sabroso vs Jack-8 | 18–21 | 46.15% |
TCL| A.Sabroso vs Leroy | 24–14 | 63.16% |
TCL| A.Sabroso vs Claudio | 21–16 | 56.76% |
TCL| A.Sabroso vs Leo | 21–14 | 60.00% |
TCL| A.Sabroso vs Heihachi | 13–12 | 52.00% |
TCL| A.Sabroso vs Shaheen | 4–19 | 17.39% |
TCL| A.Sabroso vs Kuma | 10–13 | 43.48% |
TCL| A.Sabroso vs Panda | 9–6 | 60.00% |
TCL| A.Sabroso vs Clive | 1–8 | 11.11% |
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.