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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Sweet90 vs Hwoarang 272–186 59.39%
Sweet90 vs Kazuya 237–218 52.09%
Sweet90 vs Bryan 222–215 50.80%
Sweet90 vs Paul 227–166 57.76%
Sweet90 vs Dragunov 195–178 52.28%
Sweet90 vs Jin 171–176 49.28%
Sweet90 vs King 184–136 57.50%
Sweet90 vs Clive 157–138 53.22%
Sweet90 vs Steve 121–150 44.65%
Sweet90 vs Heihachi 130–122 51.59%
Sweet90 vs Jun 120–101 54.30%
Sweet90 vs Asuka 120–98 55.05%
Sweet90 vs Law 114–100–1 53.27%
Sweet90 vs Devil Jin 102–113 47.44%
Sweet90 vs Victor 103–105 49.52%
Sweet90 vs Jack-8 94–102 47.96%
Sweet90 vs Reina 86–94 47.78%
Sweet90 vs Yoshimitsu 98–76 56.32%
Sweet90 vs Lars 81–86 48.50%
Sweet90 vs Lili 78–82 48.75%
Sweet90 vs Claudio 86–74 53.75%
Sweet90 vs Azucena 70–88 44.30%
Sweet90 vs Feng 79–74 51.63%
Sweet90 vs Leo 82–70 53.95%
Sweet90 vs Fahkumram 70–77 47.62%
Sweet90 vs Leroy 78–66 54.17%
Sweet90 vs Lee 78–62 55.71%
Sweet90 vs Anna 67–72 48.20%
Sweet90 vs Armor King 57–74 43.51%
Sweet90 vs Nina 56–70 44.44%
Sweet90 vs Shaheen 60–61 49.59%
Sweet90 vs Xiaoyu 53–50 51.46%
Sweet90 vs Lidia 46–55 45.54%
Sweet90 vs Alisa 54–43 55.67%
Sweet90 vs Zafina 41–40 50.62%
Sweet90 vs Eddy 29–51 36.25%
Sweet90 vs Kuma 37–35 51.39%
Sweet90 vs Raven 31–33 48.44%
Sweet90 vs Panda 35–21 62.50%
Sweet90 vs Miary Zo 17–32 34.69%

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.