Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Gewitrex vs Jin 117–74 61.26%
Gewitrex vs Kazuya 94–63 59.87%
Gewitrex vs Dragunov 60–67 47.24%
Gewitrex vs Bryan 63–54 53.85%
Gewitrex vs Hwoarang 52–55 48.60%
Gewitrex vs Steve 66–40 62.26%
Gewitrex vs King 52–43 54.74%
Gewitrex vs Reina 39–48 44.83%
Gewitrex vs Devil Jin 53–33 61.63%
Gewitrex vs Yoshimitsu 47–34 58.02%
Gewitrex vs Heihachi 44–37 54.32%
Gewitrex vs Victor 43–32 57.33%
Gewitrex vs Feng 29–40 42.03%
Gewitrex vs Law 37–29 56.06%
Gewitrex vs Clive 32–32 50.00%
Gewitrex vs Jun 27–34 44.26%
Gewitrex vs Lili 30–25 54.55%
Gewitrex vs Asuka 26–25 50.98%
Gewitrex vs Paul 27–20 57.45%
Gewitrex vs Fahkumram 21–26 44.68%
Gewitrex vs Lee 13–29 30.95%
Gewitrex vs Armor King 18–23 43.90%
Gewitrex vs Nina 11–27 28.95%
Gewitrex vs Lidia 18–20 47.37%
Gewitrex vs Lars 14–21 40.00%
Gewitrex vs Claudio 14–18 43.75%
Gewitrex vs Azucena 12–20 37.50%
Gewitrex vs Xiaoyu 15–16 48.39%
Gewitrex vs Eddy 12–19 38.71%
Gewitrex vs Jack-8 14–13 51.85%
Gewitrex vs Alisa 11–15 42.31%
Gewitrex vs Raven 11–14 44.00%
Gewitrex vs Anna 10–15 40.00%
Gewitrex vs Leo 8–16 33.33%
Gewitrex vs Shaheen 9–11 45.00%
Gewitrex vs Zafina 8–9 47.06%
Gewitrex vs Leroy 7–8 46.67%
Gewitrex vs Kuma 4–5 44.44%
Gewitrex vs Panda 2–5 28.57%
Gewitrex vs Miary Zo 3–1 75.00%

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.