| TMXstkd vs Kazuya | 145–150 | 49.15% |
| TMXstkd vs Dragunov | 129–157 | 45.10% |
| TMXstkd vs Hwoarang | 120–163 | 42.40% |
| TMXstkd vs Reina | 141–136 | 50.90% |
| TMXstkd vs Paul | 115–160 | 41.82% |
| TMXstkd vs King | 127–135 | 48.47% |
| TMXstkd vs Lili | 140–114 | 55.12% |
| TMXstkd vs Bryan | 80–158 | 33.61% |
| TMXstkd vs Jin | 79–140 | 36.07% |
| TMXstkd vs Steve | 97–103 | 48.50% |
| TMXstkd vs Asuka | 87–90 | 49.15% |
| TMXstkd vs Yoshimitsu | 81–84 | 49.09% |
| TMXstkd vs Azucena | 71–90 | 44.10% |
| TMXstkd vs Law | 67–77 | 46.53% |
| TMXstkd vs Victor | 63–80 | 44.06% |
| TMXstkd vs Lee | 52–80 | 39.39% |
| TMXstkd vs Xiaoyu | 60–61 | 49.59% |
| TMXstkd vs Heihachi | 54–66 | 45.00% |
| TMXstkd vs Jun | 71–46 | 60.68% |
| TMXstkd vs Nina | 57–50 | 53.27% |
| TMXstkd vs Feng | 46–56 | 45.10% |
| TMXstkd vs Alisa | 41–60 | 40.59% |
| TMXstkd vs Eddy | 33–58 | 36.26% |
| TMXstkd vs Devil Jin | 45–45 | 50.00% |
| TMXstkd vs Leo | 41–48 | 46.07% |
| TMXstkd vs Lars | 29–58 | 33.33% |
| TMXstkd vs Jack-8 | 32–46 | 41.03% |
| TMXstkd vs Anna | 34–43 | 44.16% |
| TMXstkd vs Kuma | 29–47 | 38.16% |
| TMXstkd vs Lidia | 37–38 | 49.33% |
| TMXstkd vs Claudio | 29–39 | 42.65% |
| TMXstkd vs Fahkumram | 29–39 | 42.65% |
| TMXstkd vs Leroy | 28–37 | 43.08% |
| TMXstkd vs Armor King | 18–43 | 29.51% |
| TMXstkd vs Shaheen | 28–25 | 52.83% |
| TMXstkd vs Clive | 20–32 | 38.46% |
| TMXstkd vs Raven | 16–25 | 39.02% |
| TMXstkd vs Zafina | 15–21 | 41.67% |
| TMXstkd vs Panda | 10–10 | 50.00% |
| TMXstkd vs Miary Zo | 2–2 | 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.