| vikas ghalot vs Jin | 73–32 | 69.52% |
| vikas ghalot vs Bryan | 55–27 | 67.07% |
| vikas ghalot vs Kazuya | 52–23 | 69.33% |
| vikas ghalot vs King | 41–26 | 61.19% |
| vikas ghalot vs Paul | 41–22 | 65.08% |
| vikas ghalot vs Dragunov | 32–21 | 60.38% |
| vikas ghalot vs Heihachi | 22–13 | 62.86% |
| vikas ghalot vs Yoshimitsu | 26–7 | 78.79% |
| vikas ghalot vs Law | 19–10 | 65.52% |
| vikas ghalot vs Reina | 13–16 | 44.83% |
| vikas ghalot vs Devil Jin | 18–10 | 64.29% |
| vikas ghalot vs Clive | 22–6 | 78.57% |
| vikas ghalot vs Nina | 20–7 | 74.07% |
| vikas ghalot vs Lili | 10–15 | 40.00% |
| vikas ghalot vs Steve | 12–12 | 50.00% |
| vikas ghalot vs Asuka | 10–11 | 47.62% |
| vikas ghalot vs Hwoarang | 9–8 | 52.94% |
| vikas ghalot vs Eddy | 14–1 | 93.33% |
| vikas ghalot vs Jack-8 | 10–4 | 71.43% |
| vikas ghalot vs Azucena | 5–9 | 35.71% |
| vikas ghalot vs Lee | 3–9 | 25.00% |
| vikas ghalot vs Alisa | 3–7 | 30.00% |
| vikas ghalot vs Victor | 6–4 | 60.00% |
| vikas ghalot vs Zafina | 2–7 | 22.22% |
| vikas ghalot vs Anna | 6–3 | 66.67% |
| vikas ghalot vs Miary Zo | 5–3 | 62.50% |
| vikas ghalot vs Feng | 6–1 | 85.71% |
| vikas ghalot vs Lars | 2–5 | 28.57% |
| vikas ghalot vs Jun | 4–3 | 57.14% |
| vikas ghalot vs Lidia | 5–2 | 71.43% |
| vikas ghalot vs Armor King | 4–3 | 57.14% |
| vikas ghalot vs Leroy | 5–1 | 83.33% |
| vikas ghalot vs Raven | 3–3 | 50.00% |
| vikas ghalot vs Fahkumram | 2–2 | 50.00% |
| vikas ghalot vs Leo | 1–1 | 50.00% |
| vikas ghalot vs Xiaoyu | 0–1 | 0.00% |
| vikas ghalot vs Kuma | 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.