| failtech vs Jin | 8–13 | 38.10% |
| failtech vs King | 9–9 | 50.00% |
| failtech vs Xiaoyu | 8–6 | 57.14% |
| failtech vs Kazuya | 5–9 | 35.71% |
| failtech vs Steve | 5–8 | 38.46% |
| failtech vs Eddy | 2–11 | 15.38% |
| failtech vs Hwoarang | 5–6 | 45.45% |
| failtech vs Nina | 5–5 | 50.00% |
| failtech vs Dragunov | 3–6 | 33.33% |
| failtech vs Azucena | 6–3 | 66.67% |
| failtech vs Feng | 1–7 | 12.50% |
| failtech vs Jun | 4–4 | 50.00% |
| failtech vs Reina | 3–5 | 37.50% |
| failtech vs Lidia | 2–4 | 33.33% |
| failtech vs Leo | 4–1 | 80.00% |
| failtech vs Victor | 2–3 | 40.00% |
| failtech vs Paul | 0–4 | 0.00% |
| failtech vs Law | 2–2 | 50.00% |
| failtech vs Yoshimitsu | 1–2 | 33.33% |
| failtech vs Bryan | 0–3 | 0.00% |
| failtech vs Asuka | 1–2 | 33.33% |
| failtech vs Kuma | 0–2 | 0.00% |
| failtech vs Fahkumram | 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.