| Tsu_ vs Jin | 38–14 | 73.08% |
| Tsu_ vs King | 30–10 | 75.00% |
| Tsu_ vs Kazuya | 32–7 | 82.05% |
| Tsu_ vs Heihachi | 24–13 | 64.86% |
| Tsu_ vs Bryan | 23–13 | 63.89% |
| Tsu_ vs Azucena | 27–9 | 75.00% |
| Tsu_ vs Lili | 20–14 | 58.82% |
| Tsu_ vs Eddy | 23–10 | 69.70% |
| Tsu_ vs Steve | 22–10 | 68.75% |
| Tsu_ vs Xiaoyu | 19–12 | 61.29% |
| Tsu_ vs Hwoarang | 18–10 | 64.29% |
| Tsu_ vs Lars | 13–14 | 48.15% |
| Tsu_ vs Law | 19–6 | 76.00% |
| Tsu_ vs Dragunov | 15–10 | 60.00% |
| Tsu_ vs Paul | 14–8 | 63.64% |
| Tsu_ vs Asuka | 13–8 | 61.90% |
| Tsu_ vs Reina | 14–6 | 70.00% |
| Tsu_ vs Lidia | 16–4 | 80.00% |
| Tsu_ vs Yoshimitsu | 11–8 | 57.89% |
| Tsu_ vs Feng | 12–7 | 63.16% |
| Tsu_ vs Leroy | 15–2 | 88.24% |
| Tsu_ vs Lee | 8–8 | 50.00% |
| Tsu_ vs Jun | 12–4 | 75.00% |
| Tsu_ vs Clive | 8–7 | 53.33% |
| Tsu_ vs Raven | 11–3 | 78.57% |
| Tsu_ vs Leo | 9–3 | 75.00% |
| Tsu_ vs Nina | 3–7 | 30.00% |
| Tsu_ vs Kuma | 3–7 | 30.00% |
| Tsu_ vs Alisa | 6–3 | 66.67% |
| Tsu_ vs Victor | 7–2 | 77.78% |
| Tsu_ vs Fahkumram | 3–5 | 37.50% |
| Tsu_ vs Armor King | 7–1 | 87.50% |
| Tsu_ vs Jack-8 | 3–3 | 50.00% |
| Tsu_ vs Devil Jin | 1–5 | 16.67% |
| Tsu_ vs Zafina | 6–0 | 100.00% |
| Tsu_ vs Anna | 2–4 | 33.33% |
| Tsu_ vs Claudio | 0–3 | 0.00% |
| Tsu_ vs Panda | 1–2 | 33.33% |
| Tsu_ vs Miary Zo | 0–1 | 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.