| Traco vs Kazuya | 25–28 | 47.17% |
| Traco vs Jin | 23–23 | 50.00% |
| Traco vs King | 18–13 | 58.06% |
| Traco vs Dragunov | 13–16 | 44.83% |
| Traco vs Lili | 12–14 | 46.15% |
| Traco vs Bryan | 9–15 | 37.50% |
| Traco vs Eddy | 12–12 | 50.00% |
| Traco vs Asuka | 17–4 | 80.95% |
| Traco vs Lidia | 11–8 | 57.89% |
| Traco vs Clive | 11–8 | 57.89% |
| Traco vs Law | 14–4 | 77.78% |
| Traco vs Heihachi | 5–9 | 35.71% |
| Traco vs Paul | 6–7 | 46.15% |
| Traco vs Yoshimitsu | 9–4 | 69.23% |
| Traco vs Hwoarang | 3–10 | 23.08% |
| Traco vs Devil Jin | 10–3 | 76.92% |
| Traco vs Jack-8 | 5–7 | 41.67% |
| Traco vs Azucena | 6–6 | 50.00% |
| Traco vs Armor King | 5–7 | 41.67% |
| Traco vs Alisa | 5–6 | 45.45% |
| Traco vs Steve | 5–5 | 50.00% |
| Traco vs Nina | 5–5 | 50.00% |
| Traco vs Kuma | 4–5 | 44.44% |
| Traco vs Reina | 6–3 | 66.67% |
| Traco vs Victor | 5–3 | 62.50% |
| Traco vs Feng | 2–5 | 28.57% |
| Traco vs Lee | 2–5 | 28.57% |
| Traco vs Jun | 4–3 | 57.14% |
| Traco vs Fahkumram | 4–2 | 66.67% |
| Traco vs Xiaoyu | 4–0 | 100.00% |
| Traco vs Lars | 0–4 | 0.00% |
| Traco vs Shaheen | 2–2 | 50.00% |
| Traco vs Leroy | 4–0 | 100.00% |
| Traco vs Raven | 4–0 | 100.00% |
| Traco vs Anna | 2–1 | 66.67% |
| Traco vs Miary Zo | 2–1 | 66.67% |
| Traco vs Leo | 2–0 | 100.00% |
| Traco vs Claudio | 0–2 | 0.00% |
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.