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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Feng Wei vs King 73–66 52.52%
Feng Wei vs Bryan 66–72 47.83%
Feng Wei vs Kazuya 73–57 56.15%
Feng Wei vs Jin 63–65 49.22%
Feng Wei vs Heihachi 80–43 65.04%
Feng Wei vs Hwoarang 59–63 48.36%
Feng Wei vs Dragunov 59–47 55.66%
Feng Wei vs Yoshimitsu 51–34 60.00%
Feng Wei vs Paul 46–37 55.42%
Feng Wei vs Steve 46–33 58.23%
Feng Wei vs Reina 43–36 54.43%
Feng Wei vs Law 33–28 54.10%
Feng Wei vs Azucena 30–29 50.85%
Feng Wei vs Devil Jin 28–27 50.91%
Feng Wei vs Lili 30–25 54.55%
Feng Wei vs Feng 29–25 53.70%
Feng Wei vs Nina 29–23 55.77%
Feng Wei vs Xiaoyu 21–29 42.00%
Feng Wei vs Asuka 24–24 50.00%
Feng Wei vs Clive 26–22 54.17%
Feng Wei vs Lee 22–25 46.81%
Feng Wei vs Armor King 27–17 61.36%
Feng Wei vs Raven 17–23 42.50%
Feng Wei vs Alisa 22–15 59.46%
Feng Wei vs Jack-8 19–15 55.88%
Feng Wei vs Leo 16–18 47.06%
Feng Wei vs Eddy 19–15 55.88%
Feng Wei vs Lars 18–15 54.55%
Feng Wei vs Claudio 14–19 42.42%
Feng Wei vs Victor 21–11 65.62%
Feng Wei vs Fahkumram 12–13 48.00%
Feng Wei vs Lidia 9–15 37.50%
Feng Wei vs Zafina 10–10 50.00%
Feng Wei vs Shaheen 8–11 42.11%
Feng Wei vs Kuma 11–8 57.89%
Feng Wei vs Jun 10–8 55.56%
Feng Wei vs Leroy 9–7 56.25%
Feng Wei vs Anna 5–6 45.45%
Feng Wei vs Panda 7–2 77.78%
Feng Wei vs Miary Zo 6–1 85.71%

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.