| Vtecking vs King | 385–429 | 47.30% |
| Vtecking vs Law | 340–373 | 47.69% |
| Vtecking vs Hwoarang | 272–330 | 45.18% |
| Vtecking vs Jin | 288–311 | 48.08% |
| Vtecking vs Kazuya | 270–313 | 46.31% |
| Vtecking vs Bryan | 226–268 | 45.75% |
| Vtecking vs Steve | 217–237 | 47.80% |
| Vtecking vs Reina | 203–246 | 45.21% |
| Vtecking vs Paul | 211–213 | 49.76% |
| Vtecking vs Lili | 174–249 | 41.13% |
| Vtecking vs Lars | 174–219 | 44.27% |
| Vtecking vs Eddy | 177–194 | 47.71% |
| Vtecking vs Yoshimitsu | 160–202 | 44.20% |
| Vtecking vs Dragunov | 177–179 | 49.72% |
| Vtecking vs Jun | 158–166 | 48.77% |
| Vtecking vs Xiaoyu | 145–172 | 45.74% |
| Vtecking vs Lee | 145–170 | 46.03% |
| Vtecking vs Azucena | 148–161 | 47.90% |
| Vtecking vs Asuka | 156–148 | 51.32% |
| Vtecking vs Victor | 123–156 | 44.09% |
| Vtecking vs Nina | 114–131 | 46.53% |
| Vtecking vs Leo | 121–116 | 51.05% |
| Vtecking vs Leroy | 127–110 | 53.59% |
| Vtecking vs Heihachi | 101–130 | 43.72% |
| Vtecking vs Feng | 115–109 | 51.34% |
| Vtecking vs Raven | 82–111 | 42.49% |
| Vtecking vs Devil Jin | 68–111 | 37.99% |
| Vtecking vs Alisa | 73–92 | 44.24% |
| Vtecking vs Lidia | 61–91 | 40.13% |
| Vtecking vs Jack-8 | 74–75 | 49.66% |
| Vtecking vs Anna | 66–56 | 54.10% |
| Vtecking vs Clive | 51–69 | 42.50% |
| Vtecking vs Claudio | 52–48 | 52.00% |
| Vtecking vs Kuma | 50–47 | 51.55% |
| Vtecking vs Zafina | 38–56 | 40.43% |
| Vtecking vs Fahkumram | 31–56 | 35.63% |
| Vtecking vs Armor King | 33–44 | 42.86% |
| Vtecking vs Shaheen | 33–35 | 48.53% |
| Vtecking vs Panda | 19–25 | 43.18% |
| Vtecking vs Miary Zo | 2–1 | 66.67% |
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.