| Trayw1 vs King | 38–28 | 57.58% |
| Trayw1 vs Armor King | 15–30 | 33.33% |
| Trayw1 vs Steve | 13–20 | 39.39% |
| Trayw1 vs Jin | 12–18 | 40.00% |
| Trayw1 vs Dragunov | 13–16 | 44.83% |
| Trayw1 vs Hwoarang | 7–19 | 26.92% |
| Trayw1 vs Lili | 11–14 | 44.00% |
| Trayw1 vs Clive | 10–15 | 40.00% |
| Trayw1 vs Yoshimitsu | 17–5 | 77.27% |
| Trayw1 vs Azucena | 7–14 | 33.33% |
| Trayw1 vs Eddy | 0–20 | 0.00% |
| Trayw1 vs Kazuya | 6–12 | 33.33% |
| Trayw1 vs Law | 6–11 | 35.29% |
| Trayw1 vs Lars | 4–13 | 23.53% |
| Trayw1 vs Bryan | 6–10 | 37.50% |
| Trayw1 vs Reina | 5–11 | 31.25% |
| Trayw1 vs Jun | 4–10 | 28.57% |
| Trayw1 vs Victor | 7–6 | 53.85% |
| Trayw1 vs Fahkumram | 4–8 | 33.33% |
| Trayw1 vs Asuka | 5–6 | 45.45% |
| Trayw1 vs Anna | 4–7 | 36.36% |
| Trayw1 vs Jack-8 | 6–4 | 60.00% |
| Trayw1 vs Lee | 3–6 | 33.33% |
| Trayw1 vs Leo | 3–5 | 37.50% |
| Trayw1 vs Xiaoyu | 2–5 | 28.57% |
| Trayw1 vs Lidia | 5–2 | 71.43% |
| Trayw1 vs Heihachi | 3–4 | 42.86% |
| Trayw1 vs Alisa | 4–2 | 66.67% |
| Trayw1 vs Kuma | 2–4 | 33.33% |
| Trayw1 vs Devil Jin | 3–2 | 60.00% |
| Trayw1 vs Feng | 2–3 | 40.00% |
| Trayw1 vs Leroy | 1–4 | 20.00% |
| Trayw1 vs Paul | 2–2 | 50.00% |
| Trayw1 vs Claudio | 0–4 | 0.00% |
| Trayw1 vs Raven | 2–2 | 50.00% |
| Trayw1 vs Shaheen | 2–1 | 66.67% |
| Trayw1 vs Zafina | 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.