| teamsesh vs Kazuya | 97–50 | 65.99% |
| teamsesh vs Bryan | 73–59 | 55.30% |
| teamsesh vs Reina | 86–42 | 67.19% |
| teamsesh vs King | 78–43 | 64.46% |
| teamsesh vs Jin | 68–48 | 58.62% |
| teamsesh vs Heihachi | 57–41 | 58.16% |
| teamsesh vs Lee | 54–32 | 62.79% |
| teamsesh vs Steve | 52–31 | 62.65% |
| teamsesh vs Law | 47–26 | 64.38% |
| teamsesh vs Paul | 41–30 | 57.75% |
| teamsesh vs Xiaoyu | 45–26 | 63.38% |
| teamsesh vs Hwoarang | 39–26 | 60.00% |
| teamsesh vs Yoshimitsu | 42–22 | 65.62% |
| teamsesh vs Jun | 30–33 | 47.62% |
| teamsesh vs Nina | 38–21 | 64.41% |
| teamsesh vs Lidia | 31–28 | 52.54% |
| teamsesh vs Asuka | 39–19 | 67.24% |
| teamsesh vs Devil Jin | 36–19 | 65.45% |
| teamsesh vs Victor | 39–15 | 72.22% |
| teamsesh vs Feng | 27–24 | 52.94% |
| teamsesh vs Raven | 29–21 | 58.00% |
| teamsesh vs Dragunov | 34–12 | 73.91% |
| teamsesh vs Lars | 31–13 | 70.45% |
| teamsesh vs Azucena | 23–21 | 52.27% |
| teamsesh vs Claudio | 21–22 | 48.84% |
| teamsesh vs Lili | 26–15 | 63.41% |
| teamsesh vs Leroy | 17–22 | 43.59% |
| teamsesh vs Fahkumram | 18–12 | 60.00% |
| teamsesh vs Leo | 15–10 | 60.00% |
| teamsesh vs Kuma | 8–16 | 33.33% |
| teamsesh vs Shaheen | 12–11 | 52.17% |
| teamsesh vs Eddy | 14–7 | 66.67% |
| teamsesh vs Jack-8 | 7–13 | 35.00% |
| teamsesh vs Zafina | 10–10 | 50.00% |
| teamsesh vs Panda | 12–7 | 63.16% |
| teamsesh vs Alisa | 11–4 | 73.33% |
| teamsesh vs Anna | 6–5 | 54.55% |
| teamsesh vs Armor King | 8–1 | 88.89% |
| teamsesh vs Miary Zo | 4–4 | 50.00% |
| teamsesh vs Clive | 1–4 | 20.00% |
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.