| ttv/scoopsverse vs Reina | 18–7 | 72.00% |
| ttv/scoopsverse vs Kazuya | 14–6 | 70.00% |
| ttv/scoopsverse vs King | 9–6 | 60.00% |
| ttv/scoopsverse vs Lili | 11–3 | 78.57% |
| ttv/scoopsverse vs Paul | 2–9 | 18.18% |
| ttv/scoopsverse vs Jin | 8–3 | 72.73% |
| ttv/scoopsverse vs Yoshimitsu | 5–5 | 50.00% |
| ttv/scoopsverse vs Bryan | 6–4 | 60.00% |
| ttv/scoopsverse vs Heihachi | 7–1 | 87.50% |
| ttv/scoopsverse vs Steve | 7–0 | 100.00% |
| ttv/scoopsverse vs Clive | 5–2 | 71.43% |
| ttv/scoopsverse vs Asuka | 4–2 | 66.67% |
| ttv/scoopsverse vs Law | 3–2 | 60.00% |
| ttv/scoopsverse vs Feng | 2–3 | 40.00% |
| ttv/scoopsverse vs Lars | 3–2 | 60.00% |
| ttv/scoopsverse vs Nina | 3–2 | 60.00% |
| ttv/scoopsverse vs Hwoarang | 4–0 | 100.00% |
| ttv/scoopsverse vs Azucena | 3–1 | 75.00% |
| ttv/scoopsverse vs Lidia | 2–2 | 50.00% |
| ttv/scoopsverse vs Dragunov | 1–2 | 33.33% |
| ttv/scoopsverse vs Leo | 3–0 | 100.00% |
| ttv/scoopsverse vs Claudio | 1–2 | 33.33% |
| ttv/scoopsverse vs Shaheen | 1–2 | 33.33% |
| ttv/scoopsverse vs Jun | 1–2 | 33.33% |
| ttv/scoopsverse vs Victor | 2–1 | 66.67% |
| ttv/scoopsverse vs Alisa | 2–0 | 100.00% |
| ttv/scoopsverse vs Raven | 2–0 | 100.00% |
| ttv/scoopsverse vs Xiaoyu | 1–0 | 100.00% |
| ttv/scoopsverse vs Panda | 0–1 | 0.00% |
| ttv/scoopsverse vs Leroy | 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.