| T0r4n0sei4n vs Jin | 59–72 | 45.04% |
| T0r4n0sei4n vs Kazuya | 62–55 | 52.99% |
| T0r4n0sei4n vs King | 50–56 | 47.17% |
| T0r4n0sei4n vs Hwoarang | 51–52 | 49.51% |
| T0r4n0sei4n vs Bryan | 49–41 | 54.44% |
| T0r4n0sei4n vs Reina | 42–48 | 46.67% |
| T0r4n0sei4n vs Lili | 28–36 | 43.75% |
| T0r4n0sei4n vs Steve | 29–33 | 46.77% |
| T0r4n0sei4n vs Law | 32–25 | 56.14% |
| T0r4n0sei4n vs Eddy | 31–25 | 55.36% |
| T0r4n0sei4n vs Lars | 23–31 | 42.59% |
| T0r4n0sei4n vs Dragunov | 24–29 | 45.28% |
| T0r4n0sei4n vs Heihachi | 18–33 | 35.29% |
| T0r4n0sei4n vs Asuka | 22–27 | 44.90% |
| T0r4n0sei4n vs Devil Jin | 22–26 | 45.83% |
| T0r4n0sei4n vs Lidia | 24–23 | 51.06% |
| T0r4n0sei4n vs Paul | 20–25 | 44.44% |
| T0r4n0sei4n vs Jun | 18–24 | 42.86% |
| T0r4n0sei4n vs Azucena | 16–25 | 39.02% |
| T0r4n0sei4n vs Yoshimitsu | 18–19 | 48.65% |
| T0r4n0sei4n vs Lee | 15–13 | 53.57% |
| T0r4n0sei4n vs Victor | 15–13 | 53.57% |
| T0r4n0sei4n vs Alisa | 15–12 | 55.56% |
| T0r4n0sei4n vs Feng | 14–10 | 58.33% |
| T0r4n0sei4n vs Nina | 9–12 | 42.86% |
| T0r4n0sei4n vs Leroy | 9–12 | 42.86% |
| T0r4n0sei4n vs Panda | 8–11 | 42.11% |
| T0r4n0sei4n vs Xiaoyu | 10–8 | 55.56% |
| T0r4n0sei4n vs Jack-8 | 6–10 | 37.50% |
| T0r4n0sei4n vs Armor King | 5–8 | 38.46% |
| T0r4n0sei4n vs Claudio | 2–9 | 18.18% |
| T0r4n0sei4n vs Kuma | 4–7 | 36.36% |
| T0r4n0sei4n vs Raven | 5–5 | 50.00% |
| T0r4n0sei4n vs Clive | 4–6 | 40.00% |
| T0r4n0sei4n vs Anna | 4–6 | 40.00% |
| T0r4n0sei4n vs Shaheen | 5–3 | 62.50% |
| T0r4n0sei4n vs Zafina | 2–6 | 25.00% |
| T0r4n0sei4n vs Leo | 1–5 | 16.67% |
| T0r4n0sei4n vs Fahkumram | 1–2 | 33.33% |
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.