| WetC0/TTV vs Kazuya | 290–274 | 51.42% |
| WetC0/TTV vs Bryan | 306–249 | 55.14% |
| WetC0/TTV vs King | 295–221–1 | 57.17% |
| WetC0/TTV vs Reina | 277–193 | 58.94% |
| WetC0/TTV vs Hwoarang | 246–191 | 56.29% |
| WetC0/TTV vs Jin | 220–210 | 51.16% |
| WetC0/TTV vs Heihachi | 219–206–1 | 51.53% |
| WetC0/TTV vs Steve | 227–185 | 55.10% |
| WetC0/TTV vs Law | 221–167 | 56.96% |
| WetC0/TTV vs Yoshimitsu | 210–154 | 57.69% |
| WetC0/TTV vs Lee | 176–182 | 49.16% |
| WetC0/TTV vs Dragunov | 201–151 | 57.10% |
| WetC0/TTV vs Lili | 189–131 | 59.06% |
| WetC0/TTV vs Paul | 140–163–2 | 46.20% |
| WetC0/TTV vs Jun | 139–153 | 47.60% |
| WetC0/TTV vs Lars | 108–153 | 41.38% |
| WetC0/TTV vs Devil Jin | 129–131 | 49.62% |
| WetC0/TTV vs Xiaoyu | 137–114 | 54.58% |
| WetC0/TTV vs Azucena | 128–122 | 51.20% |
| WetC0/TTV vs Nina | 131–110 | 54.36% |
| WetC0/TTV vs Fahkumram | 95–114 | 45.45% |
| WetC0/TTV vs Asuka | 86–120 | 41.75% |
| WetC0/TTV vs Feng | 91–108 | 45.73% |
| WetC0/TTV vs Clive | 78–117 | 40.00% |
| WetC0/TTV vs Eddy | 127–67 | 65.46% |
| WetC0/TTV vs Victor | 113–75 | 60.11% |
| WetC0/TTV vs Lidia | 77–110 | 41.18% |
| WetC0/TTV vs Jack-8 | 80–91 | 46.78% |
| WetC0/TTV vs Leo | 70–99 | 41.42% |
| WetC0/TTV vs Claudio | 90–67 | 57.32% |
| WetC0/TTV vs Raven | 68–78 | 46.58% |
| WetC0/TTV vs Alisa | 49–85 | 36.57% |
| WetC0/TTV vs Leroy | 64–70 | 47.76% |
| WetC0/TTV vs Kuma | 44–57 | 43.56% |
| WetC0/TTV vs Armor King | 45–52 | 46.39% |
| WetC0/TTV vs Shaheen | 54–38 | 58.70% |
| WetC0/TTV vs Zafina | 35–51 | 40.70% |
| WetC0/TTV vs Anna | 42–41 | 50.60% |
| WetC0/TTV vs Panda | 19–27 | 41.30% |
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.