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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KingBoon vs Jin 87–98 47.03%
KingBoon vs King 88–81 52.07%
KingBoon vs Law 65–82 44.22%
KingBoon vs Hwoarang 77–67 53.47%
KingBoon vs Kazuya 65–78 45.45%
KingBoon vs Steve 75–66 53.19%
KingBoon vs Bryan 57–67 45.97%
KingBoon vs Lars 60–49 55.05%
KingBoon vs Eddy 53–51 50.96%
KingBoon vs Reina 42–61 40.78%
KingBoon vs Lili 45–49 47.87%
KingBoon vs Paul 42–44 48.84%
KingBoon vs Jun 48–36 57.14%
KingBoon vs Yoshimitsu 41–39 51.25%
KingBoon vs Asuka 42–38 52.50%
KingBoon vs Dragunov 38–42 47.50%
KingBoon vs Azucena 38–39 49.35%
KingBoon vs Lee 33–34 49.25%
KingBoon vs Nina 34–31 52.31%
KingBoon vs Alisa 28–34 45.16%
KingBoon vs Victor 22–40 35.48%
KingBoon vs Xiaoyu 32–26 55.17%
KingBoon vs Raven 26–24 52.00%
KingBoon vs Leo 26–23 53.06%
KingBoon vs Armor King 16–32 33.33%
KingBoon vs Jack-8 18–28 39.13%
KingBoon vs Feng 16–24 40.00%
KingBoon vs Kuma 13–27 32.50%
KingBoon vs Leroy 21–18 53.85%
KingBoon vs Heihachi 18–21 46.15%
KingBoon vs Devil Jin 14–24 36.84%
KingBoon vs Fahkumram 16–20 44.44%
KingBoon vs Lidia 17–16 51.52%
KingBoon vs Clive 10–21 32.26%
KingBoon vs Claudio 12–12 50.00%
KingBoon vs Anna 7–13 35.00%
KingBoon vs Shaheen 8–10 44.44%
KingBoon vs Zafina 7–8 46.67%
KingBoon vs Panda 4–8 33.33%
KingBoon vs Miary Zo 5–7 41.67%

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.