Name history
| ALASTR | |
| SWRM | ALASTR | |
| Убивайте алис | |
| Алиса полом | |
| ПРОВОДНОЙ DILAN | |
| SWRM | Ларс | |
| ЯХААААЙ БИЛЯЯЯ | |
| SWRM | LARS |
| ALASTR vs Kazuya | 91–49 | 65.00% |
| ALASTR vs Jin | 87–51 | 63.04% |
| ALASTR vs Bryan | 44–41 | 51.76% |
| ALASTR vs Hwoarang | 40–33 | 54.79% |
| ALASTR vs King | 43–29 | 59.72% |
| ALASTR vs Reina | 34–33 | 50.75% |
| ALASTR vs Paul | 30–26 | 53.57% |
| ALASTR vs Jun | 36–17 | 67.92% |
| ALASTR vs Devil Jin | 28–19 | 59.57% |
| ALASTR vs Lars | 29–18 | 61.70% |
| ALASTR vs Steve | 27–19 | 58.70% |
| ALASTR vs Asuka | 26–17 | 60.47% |
| ALASTR vs Lee | 23–20 | 53.49% |
| ALASTR vs Lili | 25–17 | 59.52% |
| ALASTR vs Azucena | 21–19 | 52.50% |
| ALASTR vs Eddy | 21–18 | 53.85% |
| ALASTR vs Dragunov | 24–13 | 64.86% |
| ALASTR vs Yoshimitsu | 20–15 | 57.14% |
| ALASTR vs Heihachi | 16–18 | 47.06% |
| ALASTR vs Law | 16–17 | 48.48% |
| ALASTR vs Anna | 17–11 | 60.71% |
| ALASTR vs Feng | 16–10 | 61.54% |
| ALASTR vs Xiaoyu | 15–10 | 60.00% |
| ALASTR vs Leo | 12–11 | 52.17% |
| ALASTR vs Fahkumram | 13–10 | 56.52% |
| ALASTR vs Armor King | 12–11 | 52.17% |
| ALASTR vs Raven | 11–10 | 52.38% |
| ALASTR vs Clive | 13–8 | 61.90% |
| ALASTR vs Alisa | 12–8 | 60.00% |
| ALASTR vs Nina | 13–7 | 65.00% |
| ALASTR vs Leroy | 13–6 | 68.42% |
| ALASTR vs Lidia | 8–9 | 47.06% |
| ALASTR vs Claudio | 8–8 | 50.00% |
| ALASTR vs Shaheen | 7–8 | 46.67% |
| ALASTR vs Jack-8 | 5–8 | 38.46% |
| ALASTR vs Victor | 7–6 | 53.85% |
| ALASTR vs Miary Zo | 3–4 | 42.86% |
| ALASTR vs Zafina | 2–3 | 40.00% |
| ALASTR vs Kuma | 2–2 | 50.00% |
| ALASTR vs Panda | 2–1 | 66.67% |
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.