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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MAKAVELI vs King 108–93 53.73%
MAKAVELI vs Hwoarang 115–86 57.21%
MAKAVELI vs Jin 97–102 48.74%
MAKAVELI vs Kazuya 87–80 52.10%
MAKAVELI vs Law 76–67 53.15%
MAKAVELI vs Anna 47–75 38.52%
MAKAVELI vs Steve 60–59 50.42%
MAKAVELI vs Paul 63–50 55.75%
MAKAVELI vs Yoshimitsu 65–44 59.63%
MAKAVELI vs Bryan 51–53 49.04%
MAKAVELI vs Dragunov 50–43 53.76%
MAKAVELI vs Lili 34–44 43.59%
MAKAVELI vs Heihachi 37–40 48.05%
MAKAVELI vs Lee 41–29 58.57%
MAKAVELI vs Jack-8 38–31 55.07%
MAKAVELI vs Asuka 33–32 50.77%
MAKAVELI vs Lars 32–32 50.00%
MAKAVELI vs Fahkumram 30–34 46.88%
MAKAVELI vs Victor 20–37 35.09%
MAKAVELI vs Alisa 18–34 34.62%
MAKAVELI vs Devil Jin 25–26 49.02%
MAKAVELI vs Xiaoyu 26–22 54.17%
MAKAVELI vs Eddy 27–15 64.29%
MAKAVELI vs Armor King 19–21 47.50%
MAKAVELI vs Azucena 23–16 58.97%
MAKAVELI vs Feng 15–23 39.47%
MAKAVELI vs Claudio 24–11 68.57%
MAKAVELI vs Nina 19–16 54.29%
MAKAVELI vs Jun 14–19 42.42%
MAKAVELI vs Leroy 11–16 40.74%
MAKAVELI vs Kuma 13–13 50.00%
MAKAVELI vs Reina 15–10 60.00%
MAKAVELI vs Clive 17–6 73.91%
MAKAVELI vs Leo 13–8 61.90%
MAKAVELI vs Lidia 8–11 42.11%
MAKAVELI vs Raven 8–6 57.14%
MAKAVELI vs Panda 6–5 54.55%
MAKAVELI vs Shaheen 4–2 66.67%
MAKAVELI vs Miary Zo 4–1 80.00%
MAKAVELI vs Zafina 2–2 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.