| tec.steam vs Hwoarang | 177–187 | 48.63% |
| tec.steam vs Kazuya | 190–150 | 55.88% |
| tec.steam vs Bryan | 136–176 | 43.59% |
| tec.steam vs Dragunov | 168–143 | 54.02% |
| tec.steam vs King | 163–140 | 53.80% |
| tec.steam vs Reina | 136–155 | 46.74% |
| tec.steam vs Paul | 135–152 | 47.04% |
| tec.steam vs Jin | 143–131 | 52.19% |
| tec.steam vs Victor | 99–153 | 39.29% |
| tec.steam vs Yoshimitsu | 99–113–1 | 46.70% |
| tec.steam vs Lili | 104–107 | 49.29% |
| tec.steam vs Law | 121–87 | 58.17% |
| tec.steam vs Steve | 96–100 | 48.98% |
| tec.steam vs Heihachi | 93–97 | 48.95% |
| tec.steam vs Asuka | 87–101 | 46.28% |
| tec.steam vs Lars | 91–92 | 49.73% |
| tec.steam vs Nina | 97–82 | 54.19% |
| tec.steam vs Lee | 74–104 | 41.57% |
| tec.steam vs Devil Jin | 82–90 | 47.67% |
| tec.steam vs Azucena | 88–78 | 53.01% |
| tec.steam vs Leroy | 78–75 | 50.98% |
| tec.steam vs Feng | 65–83 | 43.92% |
| tec.steam vs Alisa | 65–83 | 43.92% |
| tec.steam vs Leo | 54–92 | 36.99% |
| tec.steam vs Jack-8 | 78–63 | 55.32% |
| tec.steam vs Eddy | 74–63 | 54.01% |
| tec.steam vs Jun | 71–65 | 52.21% |
| tec.steam vs Claudio | 48–87 | 35.56% |
| tec.steam vs Xiaoyu | 49–71 | 40.83% |
| tec.steam vs Raven | 53–48 | 52.48% |
| tec.steam vs Shaheen | 34–53 | 39.08% |
| tec.steam vs Clive | 37–49 | 43.02% |
| tec.steam vs Kuma | 47–37 | 55.95% |
| tec.steam vs Fahkumram | 35–43 | 44.87% |
| tec.steam vs Armor King | 39–37 | 51.32% |
| tec.steam vs Lidia | 30–44 | 40.54% |
| tec.steam vs Miary Zo | 27–33 | 45.00% |
| tec.steam vs Zafina | 20–26 | 43.48% |
| tec.steam vs Anna | 16–30 | 34.78% |
| tec.steam vs Panda | 10–16 | 38.46% |
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.