Name history
| PAKYURAM | |
| SIGDUO | |
| BEE BEE EM | |
| POKEENANGEENANG | |
| G O O B Y P L S | |
| iLikeTurtles | |
| TrashTier |
| PAKYURAM vs King | 47–43 | 52.22% |
| PAKYURAM vs Lars | 57–32 | 64.04% |
| PAKYURAM vs Eddy | 50–35 | 58.82% |
| PAKYURAM vs Jin | 53–31 | 63.10% |
| PAKYURAM vs Jack-8 | 52–32 | 61.90% |
| PAKYURAM vs Steve | 51–32 | 61.45% |
| PAKYURAM vs Hwoarang | 46–36 | 56.10% |
| PAKYURAM vs Lili | 53–29 | 64.63% |
| PAKYURAM vs Lee | 50–31 | 61.73% |
| PAKYURAM vs Dragunov | 48–31 | 60.76% |
| PAKYURAM vs Yoshimitsu | 37–40 | 48.05% |
| PAKYURAM vs Reina | 40–37 | 51.95% |
| PAKYURAM vs Xiaoyu | 45–31 | 59.21% |
| PAKYURAM vs Victor | 40–33 | 54.79% |
| PAKYURAM vs Claudio | 51–21 | 70.83% |
| PAKYURAM vs Asuka | 39–30 | 56.52% |
| PAKYURAM vs Raven | 41–27 | 60.29% |
| PAKYURAM vs Kazuya | 40–27 | 59.70% |
| PAKYURAM vs Jun | 38–25 | 60.32% |
| PAKYURAM vs Bryan | 32–30 | 51.61% |
| PAKYURAM vs Alisa | 34–28 | 54.84% |
| PAKYURAM vs Law | 40–15 | 72.73% |
| PAKYURAM vs Shaheen | 29–26 | 52.73% |
| PAKYURAM vs Kuma | 27–25 | 51.92% |
| PAKYURAM vs Azucena | 32–20 | 61.54% |
| PAKYURAM vs Devil Jin | 35–15 | 70.00% |
| PAKYURAM vs Feng | 25–25 | 50.00% |
| PAKYURAM vs Nina | 27–17 | 61.36% |
| PAKYURAM vs Paul | 30–12 | 71.43% |
| PAKYURAM vs Leo | 20–22 | 47.62% |
| PAKYURAM vs Leroy | 23–17 | 57.50% |
| PAKYURAM vs Zafina | 21–14 | 60.00% |
| PAKYURAM vs Panda | 17–8 | 68.00% |
| PAKYURAM vs Anna | 13–11 | 54.17% |
| PAKYURAM vs Fahkumram | 12–8 | 60.00% |
| PAKYURAM vs Lidia | 15–2 | 88.24% |
| PAKYURAM vs Clive | 6–4 | 60.00% |
| PAKYURAM vs Heihachi | 0–6 | 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.