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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kitana vs Kazuya 538–578 48.21%
Kitana vs King 496–514 49.11%
Kitana vs Bryan 452–506 47.18%
Kitana vs Jin 383–496 43.57%
Kitana vs Law 363–444 44.98%
Kitana vs Hwoarang 360–441 44.94%
Kitana vs Reina 366–428 46.10%
Kitana vs Steve 277–398 41.04%
Kitana vs Heihachi 296–332 47.13%
Kitana vs Dragunov 255–361 41.40%
Kitana vs Paul 261–332 44.01%
Kitana vs Azucena 247–307 44.58%
Kitana vs Lee 269–277 49.27%
Kitana vs Yoshimitsu 270–269 50.09%
Kitana vs Lili 211–271 43.78%
Kitana vs Jun 209–244 46.14%
Kitana vs Lars 210–240 46.67%
Kitana vs Eddy 211–231 47.74%
Kitana vs Armor King 193–210 47.89%
Kitana vs Asuka 183–215 45.98%
Kitana vs Xiaoyu 199–190 51.16%
Kitana vs Feng 147–194 43.11%
Kitana vs Nina 179–138–1 56.47%
Kitana vs Lidia 135–172 43.97%
Kitana vs Victor 135–166 44.85%
Kitana vs Devil Jin 126–168 42.86%
Kitana vs Raven 125–146 46.13%
Kitana vs Clive 104–159 39.54%
Kitana vs Leo 105–150 41.18%
Kitana vs Anna 142–95 59.92%
Kitana vs Jack-8 93–143 39.41%
Kitana vs Fahkumram 109–118 48.02%
Kitana vs Miary Zo 98–125 43.95%
Kitana vs Leroy 95–120 44.19%
Kitana vs Alisa 81–129 38.57%
Kitana vs Kuma 80–114 41.24%
Kitana vs Claudio 65–110 37.14%
Kitana vs Zafina 69–82 45.70%
Kitana vs Shaheen 46–54 46.00%
Kitana vs Panda 25–29 46.30%

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.