Name history
| nyaha | |
| LAPUK | |
| 69SN | |
| miojiji | |
| KIMMie | |
| lapUK | |
| lemon OG | |
| xuxu | |
| meshimeshi | |
| .AGORD | |
| Luffytaro | |
| ChawChaw |
| nyaha vs Kazuya | 146–155 | 48.50% |
| nyaha vs Jin | 130–155 | 45.61% |
| nyaha vs King | 115–146 | 44.06% |
| nyaha vs Dragunov | 126–129 | 49.41% |
| nyaha vs Bryan | 103–128 | 44.59% |
| nyaha vs Reina | 90–129 | 41.10% |
| nyaha vs Steve | 105–98 | 51.72% |
| nyaha vs Hwoarang | 62–95 | 39.49% |
| nyaha vs Lili | 66–89 | 42.58% |
| nyaha vs Law | 60–93 | 39.22% |
| nyaha vs Yoshimitsu | 65–63 | 50.78% |
| nyaha vs Heihachi | 56–70 | 44.44% |
| nyaha vs Victor | 55–63 | 46.61% |
| nyaha vs Paul | 45–65 | 40.91% |
| nyaha vs Lars | 38–71 | 34.86% |
| nyaha vs Asuka | 49–56 | 46.67% |
| nyaha vs Lee | 40–63 | 38.83% |
| nyaha vs Jun | 44–55 | 44.44% |
| nyaha vs Lidia | 42–56 | 42.86% |
| nyaha vs Devil Jin | 35–61 | 36.46% |
| nyaha vs Clive | 24–68 | 26.09% |
| nyaha vs Alisa | 25–52 | 32.47% |
| nyaha vs Nina | 23–41 | 35.94% |
| nyaha vs Claudio | 26–37 | 41.27% |
| nyaha vs Azucena | 29–32 | 47.54% |
| nyaha vs Eddy | 24–36 | 40.00% |
| nyaha vs Leo | 27–32 | 45.76% |
| nyaha vs Fahkumram | 32–25 | 56.14% |
| nyaha vs Xiaoyu | 22–33 | 40.00% |
| nyaha vs Feng | 27–25 | 51.92% |
| nyaha vs Anna | 21–30 | 41.18% |
| nyaha vs Shaheen | 28–18 | 60.87% |
| nyaha vs Leroy | 13–26 | 33.33% |
| nyaha vs Jack-8 | 15–22 | 40.54% |
| nyaha vs Armor King | 16–17 | 48.48% |
| nyaha vs Kuma | 8–23 | 25.81% |
| nyaha vs Raven | 19–10 | 65.52% |
| nyaha vs Zafina | 14–11 | 56.00% |
| nyaha vs Miary Zo | 8–8 | 50.00% |
| nyaha vs Panda | 5–3 | 62.50% |
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.