| VEGA000 vs Jin | 111–101 | 52.36% |
| VEGA000 vs Armor King | 100–112 | 47.17% |
| VEGA000 vs Fahkumram | 118–87 | 57.56% |
| VEGA000 vs Bryan | 88–105 | 45.60% |
| VEGA000 vs King | 81–93 | 46.55% |
| VEGA000 vs Kazuya | 80–89 | 47.34% |
| VEGA000 vs Paul | 74–77 | 49.01% |
| VEGA000 vs Dragunov | 65–78 | 45.45% |
| VEGA000 vs Hwoarang | 68–62 | 52.31% |
| VEGA000 vs Law | 73–51 | 58.87% |
| VEGA000 vs Heihachi | 54–65 | 45.38% |
| VEGA000 vs Steve | 55–55 | 50.00% |
| VEGA000 vs Lili | 57–53 | 51.82% |
| VEGA000 vs Asuka | 56–53 | 51.38% |
| VEGA000 vs Lars | 48–54 | 47.06% |
| VEGA000 vs Xiaoyu | 48–43 | 52.75% |
| VEGA000 vs Miary Zo | 37–49 | 43.02% |
| VEGA000 vs Lee | 43–40 | 51.81% |
| VEGA000 vs Devil Jin | 37–45 | 45.12% |
| VEGA000 vs Clive | 47–35 | 57.32% |
| VEGA000 vs Leroy | 42–35 | 54.55% |
| VEGA000 vs Azucena | 43–32 | 57.33% |
| VEGA000 vs Victor | 34–41 | 45.33% |
| VEGA000 vs Claudio | 37–36 | 50.68% |
| VEGA000 vs Jun | 35–37 | 48.61% |
| VEGA000 vs Reina | 46–26 | 63.89% |
| VEGA000 vs Anna | 34–38 | 47.22% |
| VEGA000 vs Nina | 41–27 | 60.29% |
| VEGA000 vs Yoshimitsu | 39–24 | 61.90% |
| VEGA000 vs Leo | 26–24 | 52.00% |
| VEGA000 vs Feng | 29–18 | 61.70% |
| VEGA000 vs Shaheen | 26–20 | 56.52% |
| VEGA000 vs Lidia | 26–20 | 56.52% |
| VEGA000 vs Alisa | 30–14 | 68.18% |
| VEGA000 vs Eddy | 27–14 | 65.85% |
| VEGA000 vs Raven | 20–17 | 54.05% |
| VEGA000 vs Jack-8 | 21–15 | 58.33% |
| VEGA000 vs Kuma | 14–21 | 40.00% |
| VEGA000 vs Zafina | 16–17 | 48.48% |
| VEGA000 vs Panda | 3–2 | 60.00% |
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.