Name history
| ppung09 | |
| 77년생 | |
| 월세 안 나오는 40대건물주 | |
| speedww04 | |
| siokio123 | |
| ppung0909 | |
| 위너 마리 | |
| 마리모 위너 | |
| siokio |
| ppung09 vs King | 36–4 | 90.00% |
| ppung09 vs Paul | 29–7 | 80.56% |
| ppung09 vs Kazuya | 23–11 | 67.65% |
| ppung09 vs Victor | 27–5 | 84.38% |
| ppung09 vs Eddy | 25–7 | 78.12% |
| ppung09 vs Yoshimitsu | 22–6 | 78.57% |
| ppung09 vs Bryan | 23–5 | 82.14% |
| ppung09 vs Asuka | 20–8 | 71.43% |
| ppung09 vs Reina | 24–4 | 85.71% |
| ppung09 vs Jin | 24–3 | 88.89% |
| ppung09 vs Lili | 22–4 | 84.62% |
| ppung09 vs Nina | 21–4 | 84.00% |
| ppung09 vs Hwoarang | 20–4 | 83.33% |
| ppung09 vs Steve | 21–3 | 87.50% |
| ppung09 vs Dragunov | 16–8 | 66.67% |
| ppung09 vs Law | 15–7 | 68.18% |
| ppung09 vs Leo | 18–4 | 81.82% |
| ppung09 vs Azucena | 16–5 | 76.19% |
| ppung09 vs Xiaoyu | 15–5 | 75.00% |
| ppung09 vs Jack-8 | 15–5 | 75.00% |
| ppung09 vs Leroy | 18–1 | 94.74% |
| ppung09 vs Jun | 15–4 | 78.95% |
| ppung09 vs Lars | 12–6 | 66.67% |
| ppung09 vs Devil Jin | 9–4 | 69.23% |
| ppung09 vs Alisa | 9–4 | 69.23% |
| ppung09 vs Claudio | 8–4 | 66.67% |
| ppung09 vs Lee | 7–3 | 70.00% |
| ppung09 vs Zafina | 8–2 | 80.00% |
| ppung09 vs Shaheen | 5–4 | 55.56% |
| ppung09 vs Raven | 3–6 | 33.33% |
| ppung09 vs Lidia | 5–3 | 62.50% |
| ppung09 vs Anna | 3–4 | 42.86% |
| ppung09 vs Feng | 3–3 | 50.00% |
| ppung09 vs Kuma | 4–1 | 80.00% |
| ppung09 vs Heihachi | 4–1 | 80.00% |
| ppung09 vs Fahkumram | 4–1 | 80.00% |
| ppung09 vs Miary Zo | 3–0 | 100.00% |
| ppung09 vs Clive | 1–1 | 50.00% |
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.