Name history
| cero | |
| beltman | |
| septimbr | |
| unknown | |
| TikTok/zaysterk | |
| free belt | |
| Life Is Strange | |
| slime |
| cero vs Jin | 116–103 | 52.97% |
| cero vs King | 91–100 | 47.64% |
| cero vs Kazuya | 88–75 | 53.99% |
| cero vs Steve | 93–68 | 57.76% |
| cero vs Heihachi | 74–86 | 46.25% |
| cero vs Bryan | 77–76 | 50.33% |
| cero vs Law | 72–79 | 47.68% |
| cero vs Reina | 78–59 | 56.93% |
| cero vs Hwoarang | 68–64 | 51.52% |
| cero vs Paul | 67–53 | 55.83% |
| cero vs Lili | 62–56 | 52.54% |
| cero vs Dragunov | 74–44 | 62.71% |
| cero vs Yoshimitsu | 68–47 | 59.13% |
| cero vs Azucena | 72–42 | 63.16% |
| cero vs Victor | 56–52 | 51.85% |
| cero vs Lars | 57–47 | 54.81% |
| cero vs Asuka | 55–48 | 53.40% |
| cero vs Lee | 45–51 | 46.88% |
| cero vs Xiaoyu | 48–47 | 50.53% |
| cero vs Jun | 49–45–1 | 52.13% |
| cero vs Devil Jin | 44–45 | 49.44% |
| cero vs Lidia | 42–46 | 47.73% |
| cero vs Nina | 45–41 | 52.33% |
| cero vs Clive | 36–46 | 43.90% |
| cero vs Leroy | 38–39 | 49.35% |
| cero vs Eddy | 45–31 | 59.21% |
| cero vs Feng | 28–44 | 38.89% |
| cero vs Leo | 38–32 | 54.29% |
| cero vs Raven | 31–37 | 45.59% |
| cero vs Jack-8 | 30–32 | 48.39% |
| cero vs Alisa | 28–30 | 48.28% |
| cero vs Claudio | 23–20 | 53.49% |
| cero vs Zafina | 19–24 | 44.19% |
| cero vs Shaheen | 14–21 | 40.00% |
| cero vs Kuma | 13–13 | 50.00% |
| cero vs Armor King | 10–14 | 41.67% |
| cero vs Anna | 14–5 | 73.68% |
| cero vs Panda | 7–11 | 38.89% |
| cero vs Fahkumram | 7–7 | 50.00% |
| cero vs Miary Zo | 5–7 | 41.67% |
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.