Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Saitachi vs Kazuya 249–215 53.66%
Saitachi vs Jin 218–227 48.99%
Saitachi vs King 175–180 49.30%
Saitachi vs Law 144–201 41.74%
Saitachi vs Hwoarang 174–148 54.04%
Saitachi vs Bryan 139–176 44.13%
Saitachi vs Reina 109–156 41.13%
Saitachi vs Heihachi 113–149 43.13%
Saitachi vs Steve 103–121 45.98%
Saitachi vs Dragunov 93–130 41.70%
Saitachi vs Paul 110–95 53.66%
Saitachi vs Lili 93–106 46.73%
Saitachi vs Yoshimitsu 83–110 43.01%
Saitachi vs Devil Jin 88–94 48.35%
Saitachi vs Eddy 103–72 58.86%
Saitachi vs Lee 71–80 47.02%
Saitachi vs Asuka 74–76 49.33%
Saitachi vs Xiaoyu 68–78 46.58%
Saitachi vs Jun 74–71 51.03%
Saitachi vs Lars 63–81 43.75%
Saitachi vs Fahkumram 50–79 38.76%
Saitachi vs Alisa 64–61 51.20%
Saitachi vs Feng 52–70 42.62%
Saitachi vs Azucena 42–75 35.90%
Saitachi vs Nina 50–56 47.17%
Saitachi vs Victor 47–58 44.76%
Saitachi vs Clive 49–56 46.67%
Saitachi vs Lidia 47–56 45.63%
Saitachi vs Leroy 46–47 49.46%
Saitachi vs Armor King 24–51 32.00%
Saitachi vs Jack-8 32–35–1 47.76%
Saitachi vs Claudio 36–31 53.73%
Saitachi vs Leo 24–37 39.34%
Saitachi vs Raven 23–30 43.40%
Saitachi vs Anna 21–30 41.18%
Saitachi vs Shaheen 19–28 40.43%
Saitachi vs Kuma 19–27 41.30%
Saitachi vs Zafina 9–17 34.62%
Saitachi vs Panda 6–6 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.