Name history
| 폴짝이구 | |
| 등짝등짝을보자 | |
| 목표 보라단 | |
| 황근출해병님에각개빤쓰로무장 | |
| 始發丙申 | |
| 日就月將 | |
| 95세공푼표할머니에우리손주 | |
| 87세강연구할머니에마지막컷킥 | |
| 98세김충군할아버지마지막붕권 | |
| 폴배우는중 | |
| 료룓tlqkf롬아 | |
| 한국프로게이머꿈 |
| 폴짝이구 vs Kazuya | 108–94 | 53.47% |
| 폴짝이구 vs Bryan | 75–62 | 54.74% |
| 폴짝이구 vs Dragunov | 77–60 | 56.20% |
| 폴짝이구 vs Armor King | 72–64 | 52.94% |
| 폴짝이구 vs King | 60–65 | 48.00% |
| 폴짝이구 vs Reina | 50–67 | 42.74% |
| 폴짝이구 vs Paul | 54–56 | 49.09% |
| 폴짝이구 vs Jin | 49–60 | 44.95% |
| 폴짝이구 vs Asuka | 50–49 | 50.51% |
| 폴짝이구 vs Steve | 54–44 | 55.10% |
| 폴짝이구 vs Lili | 40–50 | 44.44% |
| 폴짝이구 vs Hwoarang | 42–44 | 48.84% |
| 폴짝이구 vs Law | 45–34 | 56.96% |
| 폴짝이구 vs Miary Zo | 41–32 | 56.16% |
| 폴짝이구 vs Yoshimitsu | 29–40 | 42.03% |
| 폴짝이구 vs Heihachi | 35–29 | 54.69% |
| 폴짝이구 vs Victor | 34–28 | 54.84% |
| 폴짝이구 vs Fahkumram | 23–39 | 37.10% |
| 폴짝이구 vs Jun | 28–30 | 48.28% |
| 폴짝이구 vs Lee | 33–24 | 57.89% |
| 폴짝이구 vs Claudio | 23–32 | 41.82% |
| 폴짝이구 vs Anna | 27–21 | 56.25% |
| 폴짝이구 vs Clive | 23–24 | 48.94% |
| 폴짝이구 vs Nina | 25–18 | 58.14% |
| 폴짝이구 vs Devil Jin | 21–20 | 51.22% |
| 폴짝이구 vs Eddy | 24–17 | 58.54% |
| 폴짝이구 vs Feng | 20–17 | 54.05% |
| 폴짝이구 vs Alisa | 13–24 | 35.14% |
| 폴짝이구 vs Azucena | 15–22 | 40.54% |
| 폴짝이구 vs Lidia | 18–19 | 48.65% |
| 폴짝이구 vs Lars | 14–20 | 41.18% |
| 폴짝이구 vs Xiaoyu | 19–14 | 57.58% |
| 폴짝이구 vs Leroy | 16–14 | 53.33% |
| 폴짝이구 vs Shaheen | 14–13 | 51.85% |
| 폴짝이구 vs Raven | 12–14 | 46.15% |
| 폴짝이구 vs Jack-8 | 15–10 | 60.00% |
| 폴짝이구 vs Leo | 12–11 | 52.17% |
| 폴짝이구 vs Kuma | 11–9 | 55.00% |
| 폴짝이구 vs Panda | 5–10 | 33.33% |
| 폴짝이구 vs Zafina | 4–5 | 44.44% |
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.