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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

blam vs Kazuya 73–73 50.00%
blam vs King 78–62 55.71%
blam vs Heihachi 66–65 50.38%
blam vs Steve 69–55 55.65%
blam vs Reina 56–58 49.12%
blam vs Jin 56–56 50.00%
blam vs Clive 41–54 43.16%
blam vs Bryan 39–40 49.37%
blam vs Jun 37–39 48.68%
blam vs Fahkumram 43–31 58.11%
blam vs Law 43–28 60.56%
blam vs Hwoarang 41–30 57.75%
blam vs Lee 29–38 43.28%
blam vs Paul 31–33 48.44%
blam vs Dragunov 37–26 58.73%
blam vs Lidia 29–32 47.54%
blam vs Armor King 33–24 57.89%
blam vs Lili 31–24 56.36%
blam vs Lars 27–28 49.09%
blam vs Xiaoyu 34–20 62.96%
blam vs Eddy 31–23 57.41%
blam vs Asuka 28–23 54.90%
blam vs Yoshimitsu 26–22 54.17%
blam vs Devil Jin 24–22 52.17%
blam vs Victor 24–21 53.33%
blam vs Leo 22–20 52.38%
blam vs Azucena 14–23 37.84%
blam vs Nina 14–21 40.00%
blam vs Jack-8 18–9 66.67%
blam vs Claudio 8–16 33.33%
blam vs Raven 13–9 59.09%
blam vs Zafina 9–11 45.00%
blam vs Feng 6–12 33.33%
blam vs Leroy 12–5 70.59%
blam vs Panda 9–6 60.00%
blam vs Miary Zo 10–5 66.67%
blam vs Anna 3–9 25.00%
blam vs Alisa 6–5 54.55%
blam vs Kuma 5–5 50.00%
blam vs Shaheen 3–3 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.