| Tekken Trash vs Kazuya | 150–121 | 55.35% |
| Tekken Trash vs Jin | 116–119 | 49.36% |
| Tekken Trash vs King | 84–108 | 43.75% |
| Tekken Trash vs Reina | 101–89 | 53.16% |
| Tekken Trash vs Bryan | 95–94 | 50.26% |
| Tekken Trash vs Hwoarang | 80–103 | 43.72% |
| Tekken Trash vs Law | 94–79 | 54.34% |
| Tekken Trash vs Steve | 66–85 | 43.71% |
| Tekken Trash vs Heihachi | 74–77 | 49.01% |
| Tekken Trash vs Lee | 77–66 | 53.85% |
| Tekken Trash vs Yoshimitsu | 63–76 | 45.32% |
| Tekken Trash vs Lili | 73–61 | 54.48% |
| Tekken Trash vs Paul | 62–64 | 49.21% |
| Tekken Trash vs Dragunov | 57–64 | 47.11% |
| Tekken Trash vs Feng | 36–67 | 34.95% |
| Tekken Trash vs Devil Jin | 52–50 | 50.98% |
| Tekken Trash vs Jun | 41–56 | 42.27% |
| Tekken Trash vs Xiaoyu | 36–44 | 45.00% |
| Tekken Trash vs Asuka | 44–35 | 55.70% |
| Tekken Trash vs Eddy | 43–36 | 54.43% |
| Tekken Trash vs Lars | 32–37 | 46.38% |
| Tekken Trash vs Azucena | 37–29 | 56.06% |
| Tekken Trash vs Clive | 23–43 | 34.85% |
| Tekken Trash vs Alisa | 26–35 | 42.62% |
| Tekken Trash vs Claudio | 25–31 | 44.64% |
| Tekken Trash vs Jack-8 | 37–17 | 68.52% |
| Tekken Trash vs Nina | 24–27 | 47.06% |
| Tekken Trash vs Leroy | 20–30 | 40.00% |
| Tekken Trash vs Victor | 30–20 | 60.00% |
| Tekken Trash vs Leo | 28–21 | 57.14% |
| Tekken Trash vs Kuma | 15–34 | 30.61% |
| Tekken Trash vs Raven | 25–22 | 53.19% |
| Tekken Trash vs Shaheen | 16–21 | 43.24% |
| Tekken Trash vs Lidia | 16–16 | 50.00% |
| Tekken Trash vs Zafina | 14–12 | 53.85% |
| Tekken Trash vs Panda | 5–9 | 35.71% |
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.