| Umer eddy vs Jin | 170–122 | 58.22% |
| Umer eddy vs King | 156–111 | 58.43% |
| Umer eddy vs Dragunov | 173–90 | 65.78% |
| Umer eddy vs Bryan | 151–102 | 59.68% |
| Umer eddy vs Kazuya | 148–92 | 61.67% |
| Umer eddy vs Hwoarang | 112–86 | 56.57% |
| Umer eddy vs Heihachi | 110–78 | 58.51% |
| Umer eddy vs Paul | 131–55 | 70.43% |
| Umer eddy vs Feng | 108–74 | 59.34% |
| Umer eddy vs Law | 102–58 | 63.75% |
| Umer eddy vs Yoshimitsu | 72–72 | 50.00% |
| Umer eddy vs Steve | 87–54 | 61.70% |
| Umer eddy vs Devil Jin | 73–64 | 53.28% |
| Umer eddy vs Reina | 85–50 | 62.96% |
| Umer eddy vs Victor | 75–44 | 63.03% |
| Umer eddy vs Lee | 58–38 | 60.42% |
| Umer eddy vs Nina | 65–27 | 70.65% |
| Umer eddy vs Anna | 51–36 | 58.62% |
| Umer eddy vs Claudio | 45–34 | 56.96% |
| Umer eddy vs Asuka | 47–31 | 60.26% |
| Umer eddy vs Jack-8 | 33–41 | 44.59% |
| Umer eddy vs Lili | 45–27 | 62.50% |
| Umer eddy vs Eddy | 41–30 | 57.75% |
| Umer eddy vs Lars | 33–37 | 47.14% |
| Umer eddy vs Fahkumram | 41–29 | 58.57% |
| Umer eddy vs Leroy | 42–25 | 62.69% |
| Umer eddy vs Azucena | 30–34 | 46.88% |
| Umer eddy vs Clive | 27–37 | 42.19% |
| Umer eddy vs Lidia | 28–32 | 46.67% |
| Umer eddy vs Xiaoyu | 30–29 | 50.85% |
| Umer eddy vs Raven | 32–27 | 54.24% |
| Umer eddy vs Jun | 31–25 | 55.36% |
| Umer eddy vs Alisa | 25–26 | 49.02% |
| Umer eddy vs Zafina | 21–26 | 44.68% |
| Umer eddy vs Kuma | 25–18 | 58.14% |
| Umer eddy vs Shaheen | 27–12 | 69.23% |
| Umer eddy vs Armor King | 16–20 | 44.44% |
| Umer eddy vs Leo | 10–22 | 31.25% |
| Umer eddy vs Miary Zo | 5–10 | 33.33% |
| Umer eddy vs Panda | 7–3 | 70.00% |
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.