| Torrealba vs King | 9–15 | 37.50% |
| Torrealba vs Lee | 7–10 | 41.18% |
| Torrealba vs Jin | 7–9 | 43.75% |
| Torrealba vs Steve | 6–7 | 46.15% |
| Torrealba vs Reina | 11–2 | 84.62% |
| Torrealba vs Law | 8–4 | 66.67% |
| Torrealba vs Azucena | 6–5 | 54.55% |
| Torrealba vs Hwoarang | 3–7 | 30.00% |
| Torrealba vs Kazuya | 6–4 | 60.00% |
| Torrealba vs Devil Jin | 2–7 | 22.22% |
| Torrealba vs Dragunov | 4–5 | 44.44% |
| Torrealba vs Jun | 6–1 | 85.71% |
| Torrealba vs Clive | 4–3 | 57.14% |
| Torrealba vs Feng | 4–2 | 66.67% |
| Torrealba vs Lili | 3–3 | 50.00% |
| Torrealba vs Raven | 3–3 | 50.00% |
| Torrealba vs Eddy | 2–4 | 33.33% |
| Torrealba vs Jack-8 | 2–3 | 40.00% |
| Torrealba vs Lidia | 1–4 | 20.00% |
| Torrealba vs Asuka | 3–1 | 75.00% |
| Torrealba vs Alisa | 4–0 | 100.00% |
| Torrealba vs Zafina | 2–2 | 50.00% |
| Torrealba vs Paul | 1–2 | 33.33% |
| Torrealba vs Yoshimitsu | 1–2 | 33.33% |
| Torrealba vs Claudio | 2–1 | 66.67% |
| Torrealba vs Xiaoyu | 2–0 | 100.00% |
| Torrealba vs Leo | 1–1 | 50.00% |
| Torrealba vs Lars | 0–2 | 0.00% |
| Torrealba vs Nina | 2–0 | 100.00% |
| Torrealba vs Kuma | 0–2 | 0.00% |
| Torrealba vs Leroy | 1–1 | 50.00% |
| Torrealba vs Anna | 1–1 | 50.00% |
| Torrealba vs Bryan | 0–1 | 0.00% |
| Torrealba vs Panda | 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.