Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

remedy vs Jin 154–126 55.00%
remedy vs Bryan 105–129 44.87%
remedy vs Hwoarang 110–117 48.46%
remedy vs King 114–105 52.05%
remedy vs Dragunov 98–117 45.58%
remedy vs Kazuya 116–85 57.71%
remedy vs Lili 99–98 50.25%
remedy vs Reina 87–101 46.28%
remedy vs Steve 108–73 59.67%
remedy vs Lars 109–72 60.22%
remedy vs Law 88–83 51.46%
remedy vs Devil Jin 85–77 52.47%
remedy vs Yoshimitsu 87–74 54.04%
remedy vs Paul 77–80 49.04%
remedy vs Alisa 89–44 66.92%
remedy vs Xiaoyu 69–62 52.67%
remedy vs Jun 78–52 60.00%
remedy vs Feng 64–62 50.79%
remedy vs Asuka 70–54 56.45%
remedy vs Victor 59–63 48.36%
remedy vs Lee 62–53 53.91%
remedy vs Azucena 70–44 61.40%
remedy vs Leroy 60–39 60.61%
remedy vs Eddy 42–56 42.86%
remedy vs Leo 39–55 41.49%
remedy vs Anna 39–55 41.49%
remedy vs Nina 45–47 48.91%
remedy vs Heihachi 30–51 37.04%
remedy vs Shaheen 30–43 41.10%
remedy vs Lidia 25–46 35.21%
remedy vs Clive 34–37 47.89%
remedy vs Fahkumram 42–29 59.15%
remedy vs Zafina 24–40 37.50%
remedy vs Raven 27–36 42.86%
remedy vs Jack-8 24–34 41.38%
remedy vs Claudio 22–36 37.93%
remedy vs Kuma 30–28 51.72%
remedy vs Armor King 32–17 65.31%
remedy vs Panda 23–16 58.97%
remedy vs Miary Zo 9–16 36.00%

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.