Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rebecca vs Dragunov 272–140 66.02%
Rebecca vs Jin 271–92 74.66%
Rebecca vs Bryan 258–93 73.50%
Rebecca vs Feng 225–73 75.50%
Rebecca vs Hwoarang 210–87 70.71%
Rebecca vs King 207–85 70.89%
Rebecca vs Lars 216–76 73.97%
Rebecca vs Lili 220–71 75.60%
Rebecca vs Kazuya 190–86 68.84%
Rebecca vs Reina 209–53 79.77%
Rebecca vs Victor 180–82 68.70%
Rebecca vs Devil Jin 176–67 72.43%
Rebecca vs Law 166–73 69.46%
Rebecca vs Steve 157–63 71.36%
Rebecca vs Xiaoyu 148–68 68.52%
Rebecca vs Lee 156–58 72.90%
Rebecca vs Asuka 130–72 64.36%
Rebecca vs Alisa 169–30 84.92%
Rebecca vs Jack-8 138–58 70.41%
Rebecca vs Paul 147–48 75.38%
Rebecca vs Nina 140–46 75.27%
Rebecca vs Yoshimitsu 135–47 74.18%
Rebecca vs Claudio 119–57 67.61%
Rebecca vs Azucena 118–51 69.82%
Rebecca vs Lidia 110–51 68.32%
Rebecca vs Jun 117–43 73.12%
Rebecca vs Raven 109–48 69.43%
Rebecca vs Leo 114–40 74.03%
Rebecca vs Leroy 118–36 76.62%
Rebecca vs Eddy 99–55 64.29%
Rebecca vs Heihachi 109–40 73.15%
Rebecca vs Shaheen 86–56 60.56%
Rebecca vs Kuma 84–44 65.62%
Rebecca vs Zafina 94–29 76.42%
Rebecca vs Clive 66–35 65.35%
Rebecca vs Armor King 79–20 79.80%
Rebecca vs Anna 50–34 59.52%
Rebecca vs Fahkumram 68–16 80.95%
Rebecca vs Miary Zo 32–27 54.24%
Rebecca vs Panda 32–17 65.31%

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.