| Torloghr1 vs Heihachi | 188–208 | 47.47% |
| Torloghr1 vs Kazuya | 156–162 | 49.06% |
| Torloghr1 vs Jin | 145–164 | 46.93% |
| Torloghr1 vs Bryan | 67–136 | 33.00% |
| Torloghr1 vs Clive | 101–91 | 52.60% |
| Torloghr1 vs King | 95–86 | 52.49% |
| Torloghr1 vs Hwoarang | 99–79 | 55.62% |
| Torloghr1 vs Reina | 84–92 | 47.73% |
| Torloghr1 vs Steve | 82–84 | 49.40% |
| Torloghr1 vs Law | 78–80 | 49.37% |
| Torloghr1 vs Devil Jin | 48–76 | 38.71% |
| Torloghr1 vs Paul | 40–79 | 33.61% |
| Torloghr1 vs Asuka | 38–72 | 34.55% |
| Torloghr1 vs Lili | 43–66 | 39.45% |
| Torloghr1 vs Dragunov | 58–50 | 53.70% |
| Torloghr1 vs Yoshimitsu | 40–66 | 37.74% |
| Torloghr1 vs Jun | 56–49 | 53.33% |
| Torloghr1 vs Eddy | 35–70 | 33.33% |
| Torloghr1 vs Lee | 42–58 | 42.00% |
| Torloghr1 vs Lidia | 47–47 | 50.00% |
| Torloghr1 vs Azucena | 44–47 | 48.35% |
| Torloghr1 vs Nina | 44–43 | 50.57% |
| Torloghr1 vs Victor | 40–46 | 46.51% |
| Torloghr1 vs Jack-8 | 25–49 | 33.78% |
| Torloghr1 vs Xiaoyu | 35–36 | 49.30% |
| Torloghr1 vs Feng | 31–40 | 43.66% |
| Torloghr1 vs Lars | 29–41 | 41.43% |
| Torloghr1 vs Alisa | 29–37 | 43.94% |
| Torloghr1 vs Raven | 24–30 | 44.44% |
| Torloghr1 vs Leo | 18–26 | 40.91% |
| Torloghr1 vs Kuma | 16–27 | 37.21% |
| Torloghr1 vs Leroy | 20–22 | 47.62% |
| Torloghr1 vs Claudio | 14–26 | 35.00% |
| Torloghr1 vs Shaheen | 12–15 | 44.44% |
| Torloghr1 vs Miary Zo | 14–12 | 53.85% |
| Torloghr1 vs Zafina | 12–11 | 52.17% |
| Torloghr1 vs Fahkumram | 9–12 | 42.86% |
| Torloghr1 vs Armor King | 4–14 | 22.22% |
| Torloghr1 vs Panda | 7–9 | 43.75% |
| Torloghr1 vs Anna | 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.