| ttv/Lanthas vs Heihachi | 175–172 | 50.43% |
| ttv/Lanthas vs Bryan | 170–140 | 54.84% |
| ttv/Lanthas vs Kazuya | 156–145 | 51.83% |
| ttv/Lanthas vs Reina | 142–153 | 48.14% |
| ttv/Lanthas vs Jin | 142–126 | 52.99% |
| ttv/Lanthas vs King | 151–109 | 58.08% |
| ttv/Lanthas vs Steve | 121–117 | 50.84% |
| ttv/Lanthas vs Hwoarang | 116–91 | 56.04% |
| ttv/Lanthas vs Dragunov | 101–102 | 49.75% |
| ttv/Lanthas vs Law | 108–91 | 54.27% |
| ttv/Lanthas vs Lili | 84–90 | 48.28% |
| ttv/Lanthas vs Paul | 100–69 | 59.17% |
| ttv/Lanthas vs Yoshimitsu | 69–97 | 41.57% |
| ttv/Lanthas vs Azucena | 96–70 | 57.83% |
| ttv/Lanthas vs Lee | 80–84 | 48.78% |
| ttv/Lanthas vs Devil Jin | 81–73 | 52.60% |
| ttv/Lanthas vs Jun | 74–66 | 52.86% |
| ttv/Lanthas vs Lars | 57–77 | 42.54% |
| ttv/Lanthas vs Xiaoyu | 61–59 | 50.83% |
| ttv/Lanthas vs Victor | 71–46 | 60.68% |
| ttv/Lanthas vs Nina | 55–53 | 50.93% |
| ttv/Lanthas vs Asuka | 62–43 | 59.05% |
| ttv/Lanthas vs Leo | 56–44 | 56.00% |
| ttv/Lanthas vs Lidia | 46–48 | 48.94% |
| ttv/Lanthas vs Alisa | 41–48 | 46.07% |
| ttv/Lanthas vs Kuma | 46–43 | 51.69% |
| ttv/Lanthas vs Clive | 47–38 | 55.29% |
| ttv/Lanthas vs Feng | 49–34 | 59.04% |
| ttv/Lanthas vs Raven | 26–53 | 32.91% |
| ttv/Lanthas vs Jack-8 | 26–48 | 35.14% |
| ttv/Lanthas vs Zafina | 23–45 | 33.82% |
| ttv/Lanthas vs Leroy | 29–35 | 45.31% |
| ttv/Lanthas vs Claudio | 32–30 | 51.61% |
| ttv/Lanthas vs Eddy | 28–26 | 51.85% |
| ttv/Lanthas vs Shaheen | 22–30 | 42.31% |
| ttv/Lanthas vs Panda | 3–10 | 23.08% |
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.