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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

urac0nt vs Hwoarang 247–240 50.72%
urac0nt vs Law 179–207 46.37%
urac0nt vs King 176–207 45.95%
urac0nt vs Bryan 179–184 49.31%
urac0nt vs Jin 172–188 47.78%
urac0nt vs Kazuya 150–178 45.73%
urac0nt vs Steve 139–180 43.57%
urac0nt vs Reina 153–140 52.22%
urac0nt vs Lili 131–133 49.62%
urac0nt vs Paul 123–121 50.41%
urac0nt vs Lars 122–119 50.62%
urac0nt vs Yoshimitsu 101–136 42.62%
urac0nt vs Dragunov 100–126 44.25%
urac0nt vs Eddy 122–90 57.55%
urac0nt vs Jun 120–88 57.69%
urac0nt vs Azucena 96–97 49.74%
urac0nt vs Lee 89–103 46.35%
urac0nt vs Victor 94–81 53.71%
urac0nt vs Heihachi 75–99 43.10%
urac0nt vs Raven 78–94 45.35%
urac0nt vs Xiaoyu 70–89 44.03%
urac0nt vs Nina 66–89 42.58%
urac0nt vs Fahkumram 84–71 54.19%
urac0nt vs Asuka 82–69 54.30%
urac0nt vs Feng 73–72 50.34%
urac0nt vs Leo 81–59 57.86%
urac0nt vs Leroy 61–78 43.88%
urac0nt vs Devil Jin 58–75 43.61%
urac0nt vs Alisa 76–57 57.14%
urac0nt vs Jack-8 67–53 55.83%
urac0nt vs Claudio 50–38 56.82%
urac0nt vs Armor King 43–45 48.86%
urac0nt vs Anna 37–47 44.05%
urac0nt vs Lidia 42–41 50.60%
urac0nt vs Zafina 27–42 39.13%
urac0nt vs Kuma 37–30 55.22%
urac0nt vs Clive 35–28 55.56%
urac0nt vs Shaheen 27–35 43.55%
urac0nt vs Miary Zo 32–25 56.14%
urac0nt vs Panda 13–12 52.00%

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.