| DjVamp76 vs Kazuya | 516–393 | 56.77% |
| DjVamp76 vs Jin | 377–331 | 53.25% |
| DjVamp76 vs Bryan | 379–271 | 58.31% |
| DjVamp76 vs Reina | 241–239 | 50.21% |
| DjVamp76 vs Heihachi | 235–232 | 50.32% |
| DjVamp76 vs Steve | 254–204 | 55.46% |
| DjVamp76 vs King | 207–234 | 46.94% |
| DjVamp76 vs Dragunov | 245–192 | 56.06% |
| DjVamp76 vs Paul | 255–158 | 61.74% |
| DjVamp76 vs Hwoarang | 221–183 | 54.70% |
| DjVamp76 vs Law | 211–181 | 53.83% |
| DjVamp76 vs Devil Jin | 146–175 | 45.48% |
| DjVamp76 vs Lee | 179–128 | 58.31% |
| DjVamp76 vs Yoshimitsu | 148–136 | 52.11% |
| DjVamp76 vs Lili | 135–119 | 53.15% |
| DjVamp76 vs Feng | 143–110 | 56.52% |
| DjVamp76 vs Lars | 146–107 | 57.71% |
| DjVamp76 vs Lidia | 115–127 | 47.52% |
| DjVamp76 vs Azucena | 108–132 | 45.00% |
| DjVamp76 vs Clive | 107–115 | 48.20% |
| DjVamp76 vs Nina | 107–111 | 49.08% |
| DjVamp76 vs Jun | 92–111 | 45.32% |
| DjVamp76 vs Xiaoyu | 107–95 | 52.97% |
| DjVamp76 vs Leroy | 106–95 | 52.74% |
| DjVamp76 vs Alisa | 95–102 | 48.22% |
| DjVamp76 vs Asuka | 107–82 | 56.61% |
| DjVamp76 vs Leo | 101–84–1 | 54.59% |
| DjVamp76 vs Eddy | 95–84 | 53.07% |
| DjVamp76 vs Fahkumram | 85–90 | 48.57% |
| DjVamp76 vs Armor King | 76–92 | 45.24% |
| DjVamp76 vs Victor | 67–98 | 40.61% |
| DjVamp76 vs Anna | 77–72 | 51.68% |
| DjVamp76 vs Claudio | 78–67 | 53.79% |
| DjVamp76 vs Raven | 68–69 | 49.64% |
| DjVamp76 vs Jack-8 | 59–50 | 54.13% |
| DjVamp76 vs Zafina | 64–41 | 60.95% |
| DjVamp76 vs Shaheen | 42–62 | 40.38% |
| DjVamp76 vs Kuma | 39–38 | 50.65% |
| DjVamp76 vs Miary Zo | 36–34 | 51.43% |
| DjVamp76 vs Panda | 13–35 | 27.08% |
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.