| Larsan T. Ago vs Kazuya | 202–186 | 52.06% |
| Larsan T. Ago vs Jin | 161–177 | 47.63% |
| Larsan T. Ago vs Bryan | 125–146 | 46.13% |
| Larsan T. Ago vs Dragunov | 110–155 | 41.51% |
| Larsan T. Ago vs Reina | 116–130 | 47.15% |
| Larsan T. Ago vs King | 112–122 | 47.86% |
| Larsan T. Ago vs Steve | 113–98 | 53.55% |
| Larsan T. Ago vs Clive | 64–125 | 33.86% |
| Larsan T. Ago vs Heihachi | 87–100 | 46.52% |
| Larsan T. Ago vs Lili | 105–71 | 59.66% |
| Larsan T. Ago vs Devil Jin | 62–103 | 37.58% |
| Larsan T. Ago vs Law | 75–80 | 48.39% |
| Larsan T. Ago vs Yoshimitsu | 56–99 | 36.13% |
| Larsan T. Ago vs Hwoarang | 66–87 | 43.14% |
| Larsan T. Ago vs Paul | 57–95 | 37.50% |
| Larsan T. Ago vs Asuka | 78–68 | 53.42% |
| Larsan T. Ago vs Lars | 65–67 | 49.24% |
| Larsan T. Ago vs Victor | 44–88 | 33.33% |
| Larsan T. Ago vs Jun | 61–59 | 50.83% |
| Larsan T. Ago vs Lee | 44–54 | 44.90% |
| Larsan T. Ago vs Alisa | 41–53 | 43.62% |
| Larsan T. Ago vs Claudio | 28–55 | 33.73% |
| Larsan T. Ago vs Feng | 28–48 | 36.84% |
| Larsan T. Ago vs Leo | 30–40 | 42.86% |
| Larsan T. Ago vs Xiaoyu | 31–31 | 50.00% |
| Larsan T. Ago vs Kuma | 26–35 | 42.62% |
| Larsan T. Ago vs Lidia | 27–33 | 45.00% |
| Larsan T. Ago vs Eddy | 28–31 | 47.46% |
| Larsan T. Ago vs Nina | 27–30 | 47.37% |
| Larsan T. Ago vs Azucena | 19–38 | 33.33% |
| Larsan T. Ago vs Leroy | 24–27 | 47.06% |
| Larsan T. Ago vs Jack-8 | 22–28 | 44.00% |
| Larsan T. Ago vs Raven | 16–24 | 40.00% |
| Larsan T. Ago vs Anna | 13–25 | 34.21% |
| Larsan T. Ago vs Shaheen | 15–20 | 42.86% |
| Larsan T. Ago vs Zafina | 17–15 | 53.12% |
| Larsan T. Ago vs Panda | 7–7 | 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.