Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SixRifle vs Kazuya 87–91 48.88%
SixRifle vs King 85–72 54.14%
SixRifle vs Heihachi 75–79 48.70%
SixRifle vs Reina 87–56 60.84%
SixRifle vs Jin 66–68 49.25%
SixRifle vs Bryan 63–62 50.40%
SixRifle vs Steve 59–46 56.19%
SixRifle vs Lee 51–49 51.00%
SixRifle vs Lili 50–46 52.08%
SixRifle vs Dragunov 58–34 63.04%
SixRifle vs Law 45–45 50.00%
SixRifle vs Hwoarang 41–41 50.00%
SixRifle vs Paul 46–33 58.23%
SixRifle vs Devil Jin 33–33 50.00%
SixRifle vs Azucena 30–33 47.62%
SixRifle vs Jun 28–33 45.90%
SixRifle vs Eddy 27–32 45.76%
SixRifle vs Lars 34–22 60.71%
SixRifle vs Clive 37–19 66.07%
SixRifle vs Nina 29–25 53.70%
SixRifle vs Yoshimitsu 17–35 32.69%
SixRifle vs Xiaoyu 27–22 55.10%
SixRifle vs Asuka 28–21 57.14%
SixRifle vs Leo 23–24 48.94%
SixRifle vs Raven 23–22 51.11%
SixRifle vs Leroy 22–21 51.16%
SixRifle vs Alisa 18–18 50.00%
SixRifle vs Victor 20–16 55.56%
SixRifle vs Feng 26–9 74.29%
SixRifle vs Shaheen 21–11 65.62%
SixRifle vs Jack-8 10–18 35.71%
SixRifle vs Claudio 12–16 42.86%
SixRifle vs Lidia 15–13 53.57%
SixRifle vs Kuma 5–18 21.74%
SixRifle vs Fahkumram 12–11 52.17%
SixRifle vs Armor King 13–8 61.90%
SixRifle vs Anna 11–6 64.71%
SixRifle vs Miary Zo 7–10 41.18%
SixRifle vs Panda 7–8 46.67%
SixRifle vs Zafina 4–10 28.57%

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.