| VibinTygo vs King | 6–11 | 35.29% |
| VibinTygo vs Hwoarang | 8–7 | 53.33% |
| VibinTygo vs Jin | 4–8 | 33.33% |
| VibinTygo vs Steve | 2–8 | 20.00% |
| VibinTygo vs Armor King | 4–6 | 40.00% |
| VibinTygo vs Bryan | 4–5 | 44.44% |
| VibinTygo vs Lili | 3–4 | 42.86% |
| VibinTygo vs Law | 1–5 | 16.67% |
| VibinTygo vs Nina | 2–4 | 33.33% |
| VibinTygo vs Xiaoyu | 2–3 | 40.00% |
| VibinTygo vs Dragunov | 1–4 | 20.00% |
| VibinTygo vs Jun | 0–5 | 0.00% |
| VibinTygo vs Eddy | 3–2 | 60.00% |
| VibinTygo vs Heihachi | 3–2 | 60.00% |
| VibinTygo vs Kazuya | 1–3 | 25.00% |
| VibinTygo vs Alisa | 1–3 | 25.00% |
| VibinTygo vs Fahkumram | 1–3 | 25.00% |
| VibinTygo vs Reina | 1–2 | 33.33% |
| VibinTygo vs Azucena | 0–3 | 0.00% |
| VibinTygo vs Victor | 3–0 | 100.00% |
| VibinTygo vs Lidia | 1–2 | 33.33% |
| VibinTygo vs Jack-8 | 1–1 | 50.00% |
| VibinTygo vs Asuka | 0–2 | 0.00% |
| VibinTygo vs Claudio | 0–2 | 0.00% |
| VibinTygo vs Lee | 2–0 | 100.00% |
| VibinTygo vs Zafina | 0–2 | 0.00% |
| VibinTygo vs Paul | 0–1 | 0.00% |
| VibinTygo vs Devil Jin | 0–1 | 0.00% |
| VibinTygo vs Feng | 1–0 | 100.00% |
| VibinTygo vs Leo | 1–0 | 100.00% |
| VibinTygo vs Lars | 0–1 | 0.00% |
| VibinTygo vs Kuma | 0–1 | 0.00% |
| VibinTygo vs Panda | 0–1 | 0.00% |
| VibinTygo vs Raven | 0–1 | 0.00% |
| VibinTygo vs Clive | 0–1 | 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.