Name history
| pltch | |
| 비키니조아 | |
| Beach | |
| 민트초코파이 | |
| BZOI | |
| yong<=monkey^^ | |
| REZIBO | |
| Zekeea | |
| 클라이브그만해라씨놈발들아 | |
| 조 시 까 발 | |
| 고아보면시체깜 | |
| ~^O^~ | |
| 히히후후후후후헤헤흐히호 |
| pltch vs Reina | 56–3 | 94.92% |
| pltch vs Kazuya | 49–8 | 85.96% |
| pltch vs Jin | 48–7 | 87.27% |
| pltch vs Dragunov | 43–8 | 84.31% |
| pltch vs King | 42–7 | 85.71% |
| pltch vs Bryan | 37–6 | 86.05% |
| pltch vs Asuka | 29–7 | 80.56% |
| pltch vs Victor | 30–6 | 83.33% |
| pltch vs Paul | 30–5 | 85.71% |
| pltch vs Hwoarang | 25–9 | 73.53% |
| pltch vs Lili | 33–1 | 97.06% |
| pltch vs Lidia | 24–8 | 75.00% |
| pltch vs Steve | 27–3 | 90.00% |
| pltch vs Clive | 21–6 | 77.78% |
| pltch vs Yoshimitsu | 18–5 | 78.26% |
| pltch vs Claudio | 21–2 | 91.30% |
| pltch vs Lee | 19–4 | 82.61% |
| pltch vs Azucena | 18–4 | 81.82% |
| pltch vs Heihachi | 17–2 | 89.47% |
| pltch vs Law | 16–1 | 94.12% |
| pltch vs Fahkumram | 16–1 | 94.12% |
| pltch vs Jack-8 | 13–3 | 81.25% |
| pltch vs Shaheen | 12–4 | 75.00% |
| pltch vs Nina | 12–3 | 80.00% |
| pltch vs Leroy | 12–2 | 85.71% |
| pltch vs Armor King | 14–0 | 100.00% |
| pltch vs Devil Jin | 12–1 | 92.31% |
| pltch vs Xiaoyu | 11–1 | 91.67% |
| pltch vs Alisa | 11–1 | 91.67% |
| pltch vs Kuma | 10–2 | 83.33% |
| pltch vs Jun | 12–0 | 100.00% |
| pltch vs Leo | 11–0 | 100.00% |
| pltch vs Lars | 9–2 | 81.82% |
| pltch vs Miary Zo | 11–0 | 100.00% |
| pltch vs Eddy | 7–2 | 77.78% |
| pltch vs Panda | 7–0 | 100.00% |
| pltch vs Raven | 7–0 | 100.00% |
| pltch vs Zafina | 6–0 | 100.00% |
| pltch vs Feng | 1–2 | 33.33% |
| pltch vs Anna | 0–1 | 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.