| T-RMADA vs Kazuya | 20–13 | 60.61% |
| T-RMADA vs King | 19–11 | 63.33% |
| T-RMADA vs Bryan | 18–9 | 66.67% |
| T-RMADA vs Steve | 17–10 | 62.96% |
| T-RMADA vs Jin | 14–11 | 56.00% |
| T-RMADA vs Dragunov | 9–13 | 40.91% |
| T-RMADA vs Reina | 15–7 | 68.18% |
| T-RMADA vs Lili | 9–10 | 47.37% |
| T-RMADA vs Law | 13–5 | 72.22% |
| T-RMADA vs Xiaoyu | 9–7 | 56.25% |
| T-RMADA vs Victor | 12–4 | 75.00% |
| T-RMADA vs Jun | 11–4 | 73.33% |
| T-RMADA vs Kuma | 4–10 | 28.57% |
| T-RMADA vs Hwoarang | 10–3 | 76.92% |
| T-RMADA vs Jack-8 | 7–6 | 53.85% |
| T-RMADA vs Leroy | 10–3 | 76.92% |
| T-RMADA vs Yoshimitsu | 6–6 | 50.00% |
| T-RMADA vs Paul | 7–4 | 63.64% |
| T-RMADA vs Eddy | 6–5 | 54.55% |
| T-RMADA vs Lidia | 5–6 | 45.45% |
| T-RMADA vs Lee | 8–2 | 80.00% |
| T-RMADA vs Azucena | 7–3 | 70.00% |
| T-RMADA vs Asuka | 5–2 | 71.43% |
| T-RMADA vs Feng | 5–2 | 71.43% |
| T-RMADA vs Nina | 3–4 | 42.86% |
| T-RMADA vs Claudio | 3–3 | 50.00% |
| T-RMADA vs Raven | 4–2 | 66.67% |
| T-RMADA vs Lars | 4–1 | 80.00% |
| T-RMADA vs Shaheen | 2–2 | 50.00% |
| T-RMADA vs Devil Jin | 0–3 | 0.00% |
| T-RMADA vs Alisa | 2–1 | 66.67% |
| T-RMADA vs Heihachi | 1–2 | 33.33% |
| T-RMADA vs Leo | 2–0 | 100.00% |
| T-RMADA vs Panda | 2–0 | 100.00% |
| T-RMADA vs Miary Zo | 0–2 | 0.00% |
| T-RMADA vs Zafina | 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.