Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Miyazaki vs Kazuya 66–42 61.11%
Miyazaki vs Paul 77–28 73.33%
Miyazaki vs Hwoarang 55–42 56.70%
Miyazaki vs Bryan 60–37 61.86%
Miyazaki vs Jin 60–32 65.22%
Miyazaki vs King 54–28 65.85%
Miyazaki vs Asuka 41–41 50.00%
Miyazaki vs Lili 36–39 48.00%
Miyazaki vs Feng 38–32 54.29%
Miyazaki vs Victor 29–41 41.43%
Miyazaki vs Law 46–20 69.70%
Miyazaki vs Reina 35–28 55.56%
Miyazaki vs Alisa 32–26 55.17%
Miyazaki vs Nina 32–25 56.14%
Miyazaki vs Heihachi 23–30 43.40%
Miyazaki vs Steve 20–30 40.00%
Miyazaki vs Dragunov 27–21 56.25%
Miyazaki vs Eddy 16–32 33.33%
Miyazaki vs Jun 18–26 40.91%
Miyazaki vs Leo 28–15 65.12%
Miyazaki vs Lars 21–22 48.84%
Miyazaki vs Jack-8 18–24 42.86%
Miyazaki vs Yoshimitsu 21–19 52.50%
Miyazaki vs Lidia 19–20 48.72%
Miyazaki vs Miary Zo 18–21 46.15%
Miyazaki vs Xiaoyu 17–19 47.22%
Miyazaki vs Devil Jin 14–20 41.18%
Miyazaki vs Azucena 19–12 61.29%
Miyazaki vs Claudio 15–14 51.72%
Miyazaki vs Lee 16–13 55.17%
Miyazaki vs Zafina 17–10 62.96%
Miyazaki vs Raven 8–17 32.00%
Miyazaki vs Kuma 13–10 56.52%
Miyazaki vs Leroy 9–11 45.00%
Miyazaki vs Armor King 11–9 55.00%
Miyazaki vs Shaheen 12–5 70.59%
Miyazaki vs Clive 8–8 50.00%
Miyazaki vs Panda 8–5 61.54%
Miyazaki vs Fahkumram 2–5 28.57%
Miyazaki vs Anna 3–1 75.00%

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.