| z1thern vs Jin | 147–171 | 46.23% |
| z1thern vs Kazuya | 155–153 | 50.32% |
| z1thern vs King | 138–137 | 50.18% |
| z1thern vs Armor King | 103–136 | 43.10% |
| z1thern vs Steve | 122–95 | 56.22% |
| z1thern vs Heihachi | 106–101–1 | 51.21% |
| z1thern vs Bryan | 102–92 | 52.58% |
| z1thern vs Reina | 70–107 | 39.55% |
| z1thern vs Law | 88–78 | 53.01% |
| z1thern vs Dragunov | 75–87 | 46.30% |
| z1thern vs Paul | 76–67 | 53.15% |
| z1thern vs Lili | 66–77 | 46.15% |
| z1thern vs Hwoarang | 68–74 | 47.89% |
| z1thern vs Asuka | 59–73 | 44.70% |
| z1thern vs Eddy | 66–50 | 56.90% |
| z1thern vs Feng | 56–46 | 54.90% |
| z1thern vs Lidia | 46–43 | 51.69% |
| z1thern vs Azucena | 34–51 | 40.00% |
| z1thern vs Jun | 42–38 | 52.50% |
| z1thern vs Yoshimitsu | 29–50 | 36.71% |
| z1thern vs Devil Jin | 38–35 | 52.05% |
| z1thern vs Victor | 32–41 | 43.84% |
| z1thern vs Lars | 27–42 | 39.13% |
| z1thern vs Nina | 31–36 | 46.27% |
| z1thern vs Fahkumram | 29–35 | 45.31% |
| z1thern vs Xiaoyu | 28–34 | 45.16% |
| z1thern vs Clive | 20–36 | 35.71% |
| z1thern vs Lee | 18–36 | 33.33% |
| z1thern vs Jack-8 | 24–24 | 50.00% |
| z1thern vs Claudio | 17–24 | 41.46% |
| z1thern vs Leo | 17–22 | 43.59% |
| z1thern vs Raven | 12–24 | 33.33% |
| z1thern vs Zafina | 8–27 | 22.86% |
| z1thern vs Anna | 14–21 | 40.00% |
| z1thern vs Alisa | 9–19 | 32.14% |
| z1thern vs Leroy | 12–16 | 42.86% |
| z1thern vs Miary Zo | 16–12 | 57.14% |
| z1thern vs Shaheen | 11–15 | 42.31% |
| z1thern vs Panda | 11–10 | 52.38% |
| z1thern vs Kuma | 6–12 | 33.33% |
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.