| Therela vs Jin | 175–152 | 53.52% |
| Therela vs Kazuya | 187–131 | 58.81% |
| Therela vs Hwoarang | 146–163 | 47.25% |
| Therela vs Bryan | 169–137 | 55.23% |
| Therela vs Reina | 167–117 | 58.80% |
| Therela vs King | 133–126 | 51.35% |
| Therela vs Heihachi | 134–116 | 53.60% |
| Therela vs Steve | 120–123 | 49.38% |
| Therela vs Lili | 117–121 | 49.16% |
| Therela vs Law | 113–120 | 48.50% |
| Therela vs Paul | 90–101 | 47.12% |
| Therela vs Yoshimitsu | 93–86 | 51.96% |
| Therela vs Dragunov | 89–82 | 52.05% |
| Therela vs Jun | 76–91 | 45.51% |
| Therela vs Lars | 95–62 | 60.51% |
| Therela vs Lee | 80–76 | 51.28% |
| Therela vs Feng | 75–77 | 49.34% |
| Therela vs Victor | 88–59 | 59.86% |
| Therela vs Asuka | 69–74 | 48.25% |
| Therela vs Azucena | 75–66 | 53.19% |
| Therela vs Xiaoyu | 71–66 | 51.82% |
| Therela vs Nina | 61–68 | 47.29% |
| Therela vs Raven | 67–60 | 52.76% |
| Therela vs Eddy | 67–58 | 53.60% |
| Therela vs Devil Jin | 57–58 | 49.57% |
| Therela vs Clive | 42–69 | 37.84% |
| Therela vs Claudio | 54–48 | 52.94% |
| Therela vs Alisa | 46–53 | 46.46% |
| Therela vs Lidia | 45–51 | 46.88% |
| Therela vs Leo | 50–40 | 55.56% |
| Therela vs Zafina | 42–46 | 47.73% |
| Therela vs Armor King | 47–41 | 53.41% |
| Therela vs Leroy | 44–42 | 51.16% |
| Therela vs Jack-8 | 34–36 | 48.57% |
| Therela vs Shaheen | 37–32 | 53.62% |
| Therela vs Miary Zo | 35–33 | 51.47% |
| Therela vs Kuma | 26–23 | 53.06% |
| Therela vs Anna | 15–9 | 62.50% |
| Therela vs Panda | 15–7 | 68.18% |
| Therela vs Fahkumram | 11–11 | 50.00% |
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.