Name history
| sersch | |
| stop abuse meta | |
| BellaMVx0 | |
| Stop abuse meta | |
| HoneyLilli | |
| Dont Plug | |
| HoneyLili |
| sersch vs Kazuya | 80–79 | 50.31% |
| sersch vs Jin | 77–48–1 | 61.60% |
| sersch vs Law | 48–52 | 48.00% |
| sersch vs King | 55–39 | 58.51% |
| sersch vs Hwoarang | 48–46 | 51.06% |
| sersch vs Reina | 39–48 | 44.83% |
| sersch vs Bryan | 40–43 | 48.19% |
| sersch vs Steve | 45–27 | 62.50% |
| sersch vs Heihachi | 30–37 | 44.78% |
| sersch vs Dragunov | 32–29 | 52.46% |
| sersch vs Lili | 25–35 | 41.67% |
| sersch vs Nina | 25–24 | 51.02% |
| sersch vs Lidia | 24–22 | 52.17% |
| sersch vs Jun | 25–20 | 55.56% |
| sersch vs Yoshimitsu | 18–21 | 46.15% |
| sersch vs Xiaoyu | 17–22 | 43.59% |
| sersch vs Leroy | 21–18 | 53.85% |
| sersch vs Armor King | 16–22 | 42.11% |
| sersch vs Eddy | 9–27 | 25.00% |
| sersch vs Clive | 19–17 | 52.78% |
| sersch vs Lee | 19–15 | 55.88% |
| sersch vs Victor | 17–15 | 53.12% |
| sersch vs Claudio | 11–20 | 35.48% |
| sersch vs Devil Jin | 18–11 | 62.07% |
| sersch vs Paul | 12–16 | 42.86% |
| sersch vs Asuka | 11–13 | 45.83% |
| sersch vs Leo | 11–13 | 45.83% |
| sersch vs Alisa | 12–12 | 50.00% |
| sersch vs Azucena | 11–13 | 45.83% |
| sersch vs Raven | 9–12 | 42.86% |
| sersch vs Anna | 16–5 | 76.19% |
| sersch vs Lars | 8–12 | 40.00% |
| sersch vs Jack-8 | 10–8 | 55.56% |
| sersch vs Feng | 8–6 | 57.14% |
| sersch vs Shaheen | 6–8 | 42.86% |
| sersch vs Zafina | 2–12 | 14.29% |
| sersch vs Miary Zo | 5–6 | 45.45% |
| sersch vs Kuma | 2–8 | 20.00% |
| sersch vs Panda | 1–3 | 25.00% |
| sersch vs Fahkumram | 0–4 | 0.00% |
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.