| ECHO | TWILESS vs Kazuya | 97–78 | 55.43% |
| ECHO | TWILESS vs Jin | 93–69 | 57.41% |
| ECHO | TWILESS vs Dragunov | 67–74 | 47.52% |
| ECHO | TWILESS vs King | 46–79 | 36.80% |
| ECHO | TWILESS vs Heihachi | 53–66 | 44.54% |
| ECHO | TWILESS vs Bryan | 46–72 | 38.98% |
| ECHO | TWILESS vs Law | 40–53 | 43.01% |
| ECHO | TWILESS vs Paul | 38–44 | 46.34% |
| ECHO | TWILESS vs Steve | 36–45 | 44.44% |
| ECHO | TWILESS vs Devil Jin | 35–38 | 47.95% |
| ECHO | TWILESS vs Clive | 27–41 | 39.71% |
| ECHO | TWILESS vs Reina | 28–34 | 45.16% |
| ECHO | TWILESS vs Hwoarang | 14–33 | 29.79% |
| ECHO | TWILESS vs Yoshimitsu | 21–25 | 45.65% |
| ECHO | TWILESS vs Nina | 22–22 | 50.00% |
| ECHO | TWILESS vs Lee | 23–21 | 52.27% |
| ECHO | TWILESS vs Lili | 21–22 | 48.84% |
| ECHO | TWILESS vs Victor | 15–25 | 37.50% |
| ECHO | TWILESS vs Alisa | 20–17 | 54.05% |
| ECHO | TWILESS vs Eddy | 14–22 | 38.89% |
| ECHO | TWILESS vs Kuma | 12–22 | 35.29% |
| ECHO | TWILESS vs Lars | 15–15 | 50.00% |
| ECHO | TWILESS vs Jun | 11–19 | 36.67% |
| ECHO | TWILESS vs Leroy | 10–18 | 35.71% |
| ECHO | TWILESS vs Azucena | 5–18 | 21.74% |
| ECHO | TWILESS vs Asuka | 9–11 | 45.00% |
| ECHO | TWILESS vs Armor King | 7–13 | 35.00% |
| ECHO | TWILESS vs Jack-8 | 7–12 | 36.84% |
| ECHO | TWILESS vs Leo | 7–12 | 36.84% |
| ECHO | TWILESS vs Anna | 9–9 | 50.00% |
| ECHO | TWILESS vs Feng | 4–12 | 25.00% |
| ECHO | TWILESS vs Shaheen | 7–9 | 43.75% |
| ECHO | TWILESS vs Xiaoyu | 4–10 | 28.57% |
| ECHO | TWILESS vs Claudio | 8–6 | 57.14% |
| ECHO | TWILESS vs Lidia | 2–9 | 18.18% |
| ECHO | TWILESS vs Zafina | 2–7 | 22.22% |
| ECHO | TWILESS vs Raven | 2–6 | 25.00% |
| ECHO | TWILESS vs Fahkumram | 0–5 | 0.00% |
| ECHO | TWILESS vs Miary Zo | 1–2 | 33.33% |
| ECHO | TWILESS vs Panda | 2–0 | 100.00% |
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.