| Mof_Vegeta vs King | 248–334 | 42.61% |
| Mof_Vegeta vs Jin | 266–307 | 46.42% |
| Mof_Vegeta vs Kazuya | 266–294 | 47.50% |
| Mof_Vegeta vs Bryan | 170–222 | 43.37% |
| Mof_Vegeta vs Dragunov | 177–215 | 45.15% |
| Mof_Vegeta vs Yoshimitsu | 152–165 | 47.95% |
| Mof_Vegeta vs Heihachi | 134–182 | 42.41% |
| Mof_Vegeta vs Paul | 135–165 | 45.00% |
| Mof_Vegeta vs Law | 143–144 | 49.83% |
| Mof_Vegeta vs Steve | 92–163 | 36.08% |
| Mof_Vegeta vs Hwoarang | 113–138 | 45.02% |
| Mof_Vegeta vs Reina | 87–102 | 46.03% |
| Mof_Vegeta vs Devil Jin | 67–118 | 36.22% |
| Mof_Vegeta vs Lee | 67–78 | 46.21% |
| Mof_Vegeta vs Alisa | 68–67 | 50.37% |
| Mof_Vegeta vs Victor | 51–84 | 37.78% |
| Mof_Vegeta vs Nina | 54–75 | 41.86% |
| Mof_Vegeta vs Eddy | 58–63 | 47.93% |
| Mof_Vegeta vs Feng | 44–72 | 37.93% |
| Mof_Vegeta vs Lars | 50–51 | 49.50% |
| Mof_Vegeta vs Lili | 47–51 | 47.96% |
| Mof_Vegeta vs Jun | 38–58 | 39.58% |
| Mof_Vegeta vs Azucena | 39–54 | 41.94% |
| Mof_Vegeta vs Claudio | 34–48 | 41.46% |
| Mof_Vegeta vs Asuka | 32–42 | 43.24% |
| Mof_Vegeta vs Jack-8 | 22–40 | 35.48% |
| Mof_Vegeta vs Xiaoyu | 24–35 | 40.68% |
| Mof_Vegeta vs Leo | 14–33 | 29.79% |
| Mof_Vegeta vs Clive | 16–31 | 34.04% |
| Mof_Vegeta vs Leroy | 17–27 | 38.64% |
| Mof_Vegeta vs Lidia | 20–20 | 50.00% |
| Mof_Vegeta vs Anna | 16–17 | 48.48% |
| Mof_Vegeta vs Raven | 8–21 | 27.59% |
| Mof_Vegeta vs Shaheen | 10–18 | 35.71% |
| Mof_Vegeta vs Zafina | 10–17 | 37.04% |
| Mof_Vegeta vs Kuma | 9–12 | 42.86% |
| Mof_Vegeta vs Panda | 1–11 | 8.33% |
| Mof_Vegeta vs Fahkumram | 8–4 | 66.67% |
| Mof_Vegeta vs Armor King | 0–2 | 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.