| Tile vs Hwoarang | 0–6 | 0.00% |
| Tile vs Azucena | 4–2 | 66.67% |
| Tile vs Xiaoyu | 1–4 | 20.00% |
| Tile vs Dragunov | 1–4 | 20.00% |
| Tile vs Lili | 0–4 | 0.00% |
| Tile vs Kuma | 1–3 | 25.00% |
| Tile vs Reina | 2–2 | 50.00% |
| Tile vs Steve | 0–3 | 0.00% |
| Tile vs Feng | 1–2 | 33.33% |
| Tile vs Lars | 0–3 | 0.00% |
| Tile vs Law | 0–2 | 0.00% |
| Tile vs Jin | 0–2 | 0.00% |
| Tile vs Kazuya | 2–0 | 100.00% |
| Tile vs Lee | 0–2 | 0.00% |
| Tile vs Victor | 0–2 | 0.00% |
| Tile vs Jun | 0–2 | 0.00% |
| Tile vs Yoshimitsu | 1–0 | 100.00% |
| Tile vs Alisa | 0–1 | 0.00% |
| Tile vs Zafina | 0–1 | 0.00% |
| Tile vs Raven | 1–0 | 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.