Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Candrnk vs Kazuya 260–249 51.08%
Candrnk vs King 215–237 47.57%
Candrnk vs Jin 192–254 43.05%
Candrnk vs Bryan 203–227 47.21%
Candrnk vs Heihachi 188–210 47.24%
Candrnk vs Reina 169–169 50.00%
Candrnk vs Steve 143–167 46.13%
Candrnk vs Dragunov 140–151 48.11%
Candrnk vs Law 110–152–1 41.98%
Candrnk vs Hwoarang 129–129 50.00%
Candrnk vs Paul 98–151 39.36%
Candrnk vs Lili 120–125 48.98%
Candrnk vs Yoshimitsu 109–132 45.23%
Candrnk vs Devil Jin 74–122 37.76%
Candrnk vs Jun 97–93 51.05%
Candrnk vs Lee 62–121 33.88%
Candrnk vs Asuka 86–91 48.59%
Candrnk vs Eddy 61–108 36.09%
Candrnk vs Feng 80–88 47.62%
Candrnk vs Azucena 86–82 51.19%
Candrnk vs Armor King 71–83 46.10%
Candrnk vs Victor 58–67 46.40%
Candrnk vs Clive 57–67 45.97%
Candrnk vs Lars 48–71 40.34%
Candrnk vs Leo 53–65 44.92%
Candrnk vs Alisa 53–65 44.92%
Candrnk vs Xiaoyu 57–60 48.72%
Candrnk vs Nina 57–52 52.29%
Candrnk vs Jack-8 41–46 47.13%
Candrnk vs Claudio 35–52 40.23%
Candrnk vs Raven 40–45 47.06%
Candrnk vs Leroy 40–41 49.38%
Candrnk vs Fahkumram 36–44 45.00%
Candrnk vs Lidia 32–41 43.84%
Candrnk vs Anna 37–29 56.06%
Candrnk vs Shaheen 27–32 45.76%
Candrnk vs Kuma 20–35 36.36%
Candrnk vs Zafina 21–28 42.86%
Candrnk vs Miary Zo 18–21 46.15%
Candrnk vs Panda 3–7 30.00%

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.