| EniGma vs Bryan | 245–240 | 50.52% |
| EniGma vs Dragunov | 212–209 | 50.36% |
| EniGma vs Kazuya | 225–194 | 53.70% |
| EniGma vs King | 186–191 | 49.34% |
| EniGma vs Hwoarang | 177–185 | 48.90% |
| EniGma vs Asuka | 140–176 | 44.30% |
| EniGma vs Jin | 139–165 | 45.72% |
| EniGma vs Steve | 157–146 | 51.82% |
| EniGma vs Lars | 148–142 | 51.03% |
| EniGma vs Paul | 122–163 | 42.81% |
| EniGma vs Victor | 150–123 | 54.95% |
| EniGma vs Law | 149–120 | 55.39% |
| EniGma vs Reina | 130–124 | 51.18% |
| EniGma vs Lidia | 140–108 | 56.45% |
| EniGma vs Feng | 123–119 | 50.83% |
| EniGma vs Jun | 111–118 | 48.47% |
| EniGma vs Lee | 115–104 | 52.51% |
| EniGma vs Jack-8 | 84–128 | 39.62% |
| EniGma vs Lili | 117–90 | 56.52% |
| EniGma vs Nina | 92–113 | 44.88% |
| EniGma vs Devil Jin | 88–115 | 43.35% |
| EniGma vs Azucena | 99–99 | 50.00% |
| EniGma vs Yoshimitsu | 94–97 | 49.21% |
| EniGma vs Claudio | 78–111 | 41.27% |
| EniGma vs Leroy | 93–96 | 49.21% |
| EniGma vs Heihachi | 85–93 | 47.75% |
| EniGma vs Alisa | 85–86 | 49.71% |
| EniGma vs Eddy | 75–90 | 45.45% |
| EniGma vs Xiaoyu | 68–79 | 46.26% |
| EniGma vs Leo | 59–83 | 41.55% |
| EniGma vs Raven | 64–76 | 45.71% |
| EniGma vs Clive | 57–72 | 44.19% |
| EniGma vs Anna | 51–61 | 45.54% |
| EniGma vs Kuma | 50–61 | 45.05% |
| EniGma vs Zafina | 48–62 | 43.64% |
| EniGma vs Shaheen | 54–53 | 50.47% |
| EniGma vs Armor King | 48–56 | 46.15% |
| EniGma vs Fahkumram | 48–51 | 48.48% |
| EniGma vs Miary Zo | 44–37 | 54.32% |
| EniGma vs Panda | 18–21 | 46.15% |
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.