Name history
| ENJOL | |
| BACK TO FRIENDS | |
| BAKSO BU JARMI | |
| PECEL BU NUR | |
| SOTO CAK HAR | |
| MAFIA SHOLAWAT | |
| LEARN LEVERLESS | |
| Learning LVL | |
| Dadaaar |
| ENJOL vs Jin | 187–221 | 45.83% |
| ENJOL vs Bryan | 131–149 | 46.79% |
| ENJOL vs King | 132–136 | 49.25% |
| ENJOL vs Dragunov | 126–117 | 51.85% |
| ENJOL vs Kazuya | 116–104 | 52.73% |
| ENJOL vs Reina | 116–95 | 54.98% |
| ENJOL vs Lili | 98–110 | 47.12% |
| ENJOL vs Hwoarang | 86–111 | 43.65% |
| ENJOL vs Law | 94–87 | 51.93% |
| ENJOL vs Heihachi | 100–72 | 58.14% |
| ENJOL vs Steve | 87–82 | 51.48% |
| ENJOL vs Victor | 92–72 | 56.10% |
| ENJOL vs Clive | 80–82 | 49.38% |
| ENJOL vs Yoshimitsu | 82–71 | 53.59% |
| ENJOL vs Lee | 85–67 | 55.92% |
| ENJOL vs Asuka | 86–62 | 58.11% |
| ENJOL vs Devil Jin | 69–76 | 47.59% |
| ENJOL vs Jun | 73–68 | 51.77% |
| ENJOL vs Feng | 75–62 | 54.74% |
| ENJOL vs Xiaoyu | 62–63 | 49.60% |
| ENJOL vs Lars | 65–60 | 52.00% |
| ENJOL vs Leo | 56–67 | 45.53% |
| ENJOL vs Paul | 53–64 | 45.30% |
| ENJOL vs Claudio | 56–51 | 52.34% |
| ENJOL vs Nina | 61–44 | 58.10% |
| ENJOL vs Lidia | 50–51 | 49.50% |
| ENJOL vs Armor King | 53–40 | 56.99% |
| ENJOL vs Eddy | 43–47 | 47.78% |
| ENJOL vs Azucena | 50–35 | 58.82% |
| ENJOL vs Raven | 42–42 | 50.00% |
| ENJOL vs Alisa | 40–39 | 50.63% |
| ENJOL vs Jack-8 | 37–34 | 52.11% |
| ENJOL vs Shaheen | 36–31 | 53.73% |
| ENJOL vs Leroy | 28–32 | 46.67% |
| ENJOL vs Kuma | 22–31 | 41.51% |
| ENJOL vs Anna | 30–16 | 65.22% |
| ENJOL vs Zafina | 18–17 | 51.43% |
| ENJOL vs Fahkumram | 17–16 | 51.52% |
| ENJOL vs Panda | 7–18 | 28.00% |
| ENJOL vs Miary Zo | 6–8 | 42.86% |
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.