| TADATH vs Hwoarang | 254–347 | 42.26% |
| TADATH vs Paul | 274–309 | 47.00% |
| TADATH vs Kazuya | 242–254–1 | 48.79% |
| TADATH vs King | 208–288 | 41.94% |
| TADATH vs Reina | 261–226 | 53.59% |
| TADATH vs Bryan | 230–223–1 | 50.77% |
| TADATH vs Dragunov | 201–249 | 44.67% |
| TADATH vs Asuka | 160–233 | 40.71% |
| TADATH vs Jin | 175–216 | 44.76% |
| TADATH vs Law | 163–174 | 48.37% |
| TADATH vs Xiaoyu | 185–125 | 59.68% |
| TADATH vs Yoshimitsu | 169–140 | 54.69% |
| TADATH vs Lili | 141–162 | 46.53% |
| TADATH vs Victor | 151–145 | 51.01% |
| TADATH vs Steve | 102–171 | 37.36% |
| TADATH vs Lidia | 126–142 | 47.01% |
| TADATH vs Nina | 126–140 | 47.37% |
| TADATH vs Jun | 123–137 | 47.31% |
| TADATH vs Azucena | 110–144 | 43.31% |
| TADATH vs Eddy | 141–110 | 56.18% |
| TADATH vs Feng | 103–127 | 44.78% |
| TADATH vs Lars | 114–100 | 53.27% |
| TADATH vs Lee | 86–112 | 43.43% |
| TADATH vs Devil Jin | 72–124 | 36.73% |
| TADATH vs Jack-8 | 85–106 | 44.50% |
| TADATH vs Leo | 80–100 | 44.44% |
| TADATH vs Heihachi | 68–95 | 41.72% |
| TADATH vs Leroy | 69–83 | 45.39% |
| TADATH vs Alisa | 54–92 | 36.99% |
| TADATH vs Claudio | 53–75 | 41.41% |
| TADATH vs Raven | 54–72 | 42.86% |
| TADATH vs Zafina | 76–46 | 62.30% |
| TADATH vs Fahkumram | 53–58 | 47.75% |
| TADATH vs Kuma | 54–49 | 52.43% |
| TADATH vs Armor King | 38–56 | 40.43% |
| TADATH vs Shaheen | 31–49 | 38.75% |
| TADATH vs Clive | 32–46 | 41.03% |
| TADATH vs Anna | 34–36 | 48.57% |
| TADATH vs Panda | 36–28 | 56.25% |
| TADATH vs Miary Zo | 11–22 | 33.33% |
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.