| Ember vs Reina | 75–58 | 56.39% |
| Ember vs Jin | 47–78 | 37.60% |
| Ember vs Kazuya | 54–69 | 43.90% |
| Ember vs Heihachi | 49–67 | 42.24% |
| Ember vs Steve | 54–51 | 51.43% |
| Ember vs Bryan | 55–46 | 54.46% |
| Ember vs King | 38–43 | 46.91% |
| Ember vs Yoshimitsu | 33–41 | 44.59% |
| Ember vs Hwoarang | 26–36 | 41.94% |
| Ember vs Azucena | 29–33 | 46.77% |
| Ember vs Asuka | 26–32 | 44.83% |
| Ember vs Lili | 25–33 | 43.10% |
| Ember vs Paul | 23–34 | 40.35% |
| Ember vs Law | 28–29 | 49.12% |
| Ember vs Lidia | 21–29 | 42.00% |
| Ember vs Xiaoyu | 24–25 | 48.98% |
| Ember vs Jun | 22–25 | 46.81% |
| Ember vs Eddy | 21–25 | 45.65% |
| Ember vs Devil Jin | 16–29 | 35.56% |
| Ember vs Feng | 14–30 | 31.82% |
| Ember vs Victor | 18–26 | 40.91% |
| Ember vs Lee | 20–23 | 46.51% |
| Ember vs Lars | 22–19 | 53.66% |
| Ember vs Dragunov | 16–21 | 43.24% |
| Ember vs Alisa | 19–16 | 54.29% |
| Ember vs Claudio | 10–22 | 31.25% |
| Ember vs Nina | 6–26 | 18.75% |
| Ember vs Kuma | 14–14 | 50.00% |
| Ember vs Jack-8 | 11–16 | 40.74% |
| Ember vs Raven | 11–14 | 44.00% |
| Ember vs Leroy | 14–10 | 58.33% |
| Ember vs Zafina | 10–13 | 43.48% |
| Ember vs Leo | 11–10 | 52.38% |
| Ember vs Shaheen | 9–4 | 69.23% |
| Ember vs Panda | 3–9 | 25.00% |
| Ember vs Clive | 1–8 | 11.11% |
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.