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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

0.0.0.0 vs Kazuya 207–193 51.75%
0.0.0.0 vs Lidia 191–208 47.87%
0.0.0.0 vs Jin 202–169 54.45%
0.0.0.0 vs Bryan 145–162 47.23%
0.0.0.0 vs Law 159–143 52.65%
0.0.0.0 vs Steve 145–148 49.49%
0.0.0.0 vs King 135–138–1 49.45%
0.0.0.0 vs Reina 140–127 52.43%
0.0.0.0 vs Hwoarang 140–119 54.05%
0.0.0.0 vs Dragunov 101–147 40.73%
0.0.0.0 vs Heihachi 109–126 46.38%
0.0.0.0 vs Jun 124–103 54.63%
0.0.0.0 vs Paul 112–107 51.14%
0.0.0.0 vs Lee 102–107 48.80%
0.0.0.0 vs Eddy 116–78 59.79%
0.0.0.0 vs Yoshimitsu 101–92 52.33%
0.0.0.0 vs Victor 101–72 58.38%
0.0.0.0 vs Lars 90–77 53.89%
0.0.0.0 vs Lili 91–74 55.15%
0.0.0.0 vs Azucena 72–82 46.75%
0.0.0.0 vs Feng 69–80 46.31%
0.0.0.0 vs Asuka 74–74 50.00%
0.0.0.0 vs Devil Jin 53–80 39.85%
0.0.0.0 vs Leroy 57–65 46.72%
0.0.0.0 vs Nina 50–67 42.74%
0.0.0.0 vs Leo 61–55 52.59%
0.0.0.0 vs Xiaoyu 44–67 39.64%
0.0.0.0 vs Raven 57–53 51.82%
0.0.0.0 vs Anna 43–61 41.35%
0.0.0.0 vs Jack-8 45–44 50.56%
0.0.0.0 vs Shaheen 42–34 55.26%
0.0.0.0 vs Claudio 36–39 48.00%
0.0.0.0 vs Alisa 35–37 48.61%
0.0.0.0 vs Zafina 26–34 43.33%
0.0.0.0 vs Kuma 25–31 44.64%
0.0.0.0 vs Fahkumram 26–27 49.06%
0.0.0.0 vs Clive 17–11 60.71%
0.0.0.0 vs Panda 14–9 60.87%
0.0.0.0 vs Armor King 8–12 40.00%
0.0.0.0 vs Miary Zo 3–5 37.50%

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.