Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tw200nos vs Kazuya 216–170 55.96%
tw200nos vs King 150–220 40.54%
tw200nos vs Paul 150–189 44.25%
tw200nos vs Hwoarang 129–182 41.48%
tw200nos vs Dragunov 120–178 40.27%
tw200nos vs Bryan 156–119 56.73%
tw200nos vs Reina 140–129 52.04%
tw200nos vs Jin 124–133–1 48.25%
tw200nos vs Law 106–140 43.09%
tw200nos vs Victor 75–147–1 33.78%
tw200nos vs Lili 96–120 44.44%
tw200nos vs Asuka 105–105 50.00%
tw200nos vs Yoshimitsu 84–97 46.41%
tw200nos vs Azucena 84–92 47.73%
tw200nos vs Alisa 68–105 39.31%
tw200nos vs Steve 80–91 46.78%
tw200nos vs Jun 76–92 45.24%
tw200nos vs Heihachi 63–82 43.45%
tw200nos vs Eddy 61–78 43.88%
tw200nos vs Feng 50–82 37.88%
tw200nos vs Claudio 55–76 41.98%
tw200nos vs Nina 48–74 39.34%
tw200nos vs Xiaoyu 69–50 57.98%
tw200nos vs Leo 48–67 41.74%
tw200nos vs Devil Jin 53–57 48.18%
tw200nos vs Jack-8 36–55 39.56%
tw200nos vs Lidia 38–53 41.76%
tw200nos vs Leroy 38–52 42.22%
tw200nos vs Lars 39–50 43.82%
tw200nos vs Lee 39–47 45.35%
tw200nos vs Fahkumram 24–51 32.00%
tw200nos vs Raven 33–40 45.21%
tw200nos vs Shaheen 25–32 43.86%
tw200nos vs Kuma 14–42 25.00%
tw200nos vs Zafina 14–29 32.56%
tw200nos vs Anna 11–26 29.73%
tw200nos vs Panda 11–22 33.33%
tw200nos vs Clive 10–13 43.48%
tw200nos vs Armor King 7–6 53.85%

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.