Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tkggear vs Kazuya 216–233 48.11%
tkggear vs Bryan 197–227 46.46%
tkggear vs Jin 212–195 52.09%
tkggear vs King 207–185 52.81%
tkggear vs Heihachi 174–201 46.40%
tkggear vs Reina 195–179 52.14%
tkggear vs Steve 173–166 51.03%
tkggear vs Hwoarang 147–190 43.62%
tkggear vs Law 125–163 43.40%
tkggear vs Dragunov 124–154 44.60%
tkggear vs Lili 113–130 46.50%
tkggear vs Paul 108–131 45.19%
tkggear vs Yoshimitsu 99–131 43.04%
tkggear vs Lars 98–113 46.45%
tkggear vs Lee 98–113 46.45%
tkggear vs Armor King 96–103 48.24%
tkggear vs Jun 115–76 60.21%
tkggear vs Azucena 100–91 52.36%
tkggear vs Devil Jin 76–84 47.50%
tkggear vs Xiaoyu 96–57 62.75%
tkggear vs Asuka 57–95 37.50%
tkggear vs Lidia 73–75 49.32%
tkggear vs Anna 69–78 46.94%
tkggear vs Feng 84–60 58.33%
tkggear vs Fahkumram 74–66 52.86%
tkggear vs Clive 58–80 42.03%
tkggear vs Raven 64–66 49.23%
tkggear vs Alisa 69–60 53.49%
tkggear vs Miary Zo 61–63 49.19%
tkggear vs Eddy 52–71 42.28%
tkggear vs Victor 63–57 52.50%
tkggear vs Jack-8 53–63 45.69%
tkggear vs Leo 54–56 49.09%
tkggear vs Claudio 42–64–1 39.62%
tkggear vs Leroy 43–58 42.57%
tkggear vs Nina 46–44 51.11%
tkggear vs Shaheen 31–46 40.26%
tkggear vs Zafina 27–49 35.53%
tkggear vs Kuma 25–31 44.64%
tkggear vs Panda 15–15 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.