| juul pods vs Kazuya | 150–144 | 51.02% |
| juul pods vs King | 186–99 | 65.26% |
| juul pods vs Bryan | 145–131 | 52.54% |
| juul pods vs Heihachi | 133–124 | 51.75% |
| juul pods vs Reina | 140–108 | 56.45% |
| juul pods vs Jin | 118–104 | 53.15% |
| juul pods vs Steve | 116–73 | 61.38% |
| juul pods vs Dragunov | 90–87 | 50.85% |
| juul pods vs Law | 94–78 | 54.65% |
| juul pods vs Paul | 94–65 | 59.12% |
| juul pods vs Lee | 86–63 | 57.72% |
| juul pods vs Azucena | 77–63 | 55.00% |
| juul pods vs Lili | 80–58 | 57.97% |
| juul pods vs Hwoarang | 64–69 | 48.12% |
| juul pods vs Yoshimitsu | 79–49 | 61.72% |
| juul pods vs Jun | 64–60 | 51.61% |
| juul pods vs Asuka | 65–56 | 53.72% |
| juul pods vs Armor King | 55–65 | 45.83% |
| juul pods vs Feng | 77–35 | 68.75% |
| juul pods vs Victor | 57–49 | 53.77% |
| juul pods vs Clive | 55–50 | 52.38% |
| juul pods vs Lars | 49–51 | 49.00% |
| juul pods vs Lidia | 46–54 | 46.00% |
| juul pods vs Devil Jin | 50–45 | 52.63% |
| juul pods vs Eddy | 52–41 | 55.91% |
| juul pods vs Xiaoyu | 53–35 | 60.23% |
| juul pods vs Leo | 36–50 | 41.86% |
| juul pods vs Nina | 52–34 | 60.47% |
| juul pods vs Anna | 32–52 | 38.10% |
| juul pods vs Leroy | 40–34 | 54.05% |
| juul pods vs Jack-8 | 29–32 | 47.54% |
| juul pods vs Claudio | 33–24 | 57.89% |
| juul pods vs Alisa | 22–31 | 41.51% |
| juul pods vs Kuma | 28–25 | 52.83% |
| juul pods vs Raven | 20–29 | 40.82% |
| juul pods vs Fahkumram | 27–19 | 58.70% |
| juul pods vs Shaheen | 11–32 | 25.58% |
| juul pods vs Zafina | 16–24 | 40.00% |
| juul pods vs Miary Zo | 16–19 | 45.71% |
| juul pods vs Panda | 8–2 | 80.00% |
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.