| zettaslow vs Kazuya | 52–78 | 40.00% |
| zettaslow vs King | 45–74 | 37.82% |
| zettaslow vs Reina | 58–54 | 51.79% |
| zettaslow vs Jin | 36–69 | 34.29% |
| zettaslow vs Steve | 27–45 | 37.50% |
| zettaslow vs Heihachi | 20–47 | 29.85% |
| zettaslow vs Law | 25–39 | 39.06% |
| zettaslow vs Jun | 31–27 | 53.45% |
| zettaslow vs Bryan | 23–32 | 41.82% |
| zettaslow vs Hwoarang | 15–39 | 27.78% |
| zettaslow vs Yoshimitsu | 25–28 | 47.17% |
| zettaslow vs Dragunov | 14–39 | 26.42% |
| zettaslow vs Azucena | 27–24 | 52.94% |
| zettaslow vs Lidia | 10–39 | 20.41% |
| zettaslow vs Asuka | 12–30 | 28.57% |
| zettaslow vs Lili | 23–17 | 57.50% |
| zettaslow vs Lars | 15–25 | 37.50% |
| zettaslow vs Leo | 18–17 | 51.43% |
| zettaslow vs Lee | 14–20 | 41.18% |
| zettaslow vs Eddy | 11–23 | 32.35% |
| zettaslow vs Nina | 12–21 | 36.36% |
| zettaslow vs Clive | 11–22 | 33.33% |
| zettaslow vs Alisa | 15–17 | 46.88% |
| zettaslow vs Jack-8 | 12–19 | 38.71% |
| zettaslow vs Paul | 11–19 | 36.67% |
| zettaslow vs Feng | 9–18 | 33.33% |
| zettaslow vs Victor | 12–15 | 44.44% |
| zettaslow vs Claudio | 11–12 | 47.83% |
| zettaslow vs Fahkumram | 12–10 | 54.55% |
| zettaslow vs Kuma | 8–13 | 38.10% |
| zettaslow vs Xiaoyu | 6–14 | 30.00% |
| zettaslow vs Leroy | 7–9 | 43.75% |
| zettaslow vs Devil Jin | 5–10 | 33.33% |
| zettaslow vs Raven | 3–11 | 21.43% |
| zettaslow vs Anna | 4–10 | 28.57% |
| zettaslow vs Zafina | 7–6 | 53.85% |
| zettaslow vs Panda | 4–5 | 44.44% |
| zettaslow vs Shaheen | 1–6 | 14.29% |
| zettaslow vs Armor King | 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.