Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Raquetazo vs Jin 53–39 57.61%
Raquetazo vs Dragunov 38–35 52.05%
Raquetazo vs King 43–25 63.24%
Raquetazo vs Yoshimitsu 45–19 70.31%
Raquetazo vs Xiaoyu 16–45 26.23%
Raquetazo vs Lars 33–26 55.93%
Raquetazo vs Azucena 50–9 84.75%
Raquetazo vs Asuka 40–18 68.97%
Raquetazo vs Devil Jin 38–20 65.52%
Raquetazo vs Bryan 35–22 61.40%
Raquetazo vs Steve 25–31 44.64%
Raquetazo vs Hwoarang 37–17 68.52%
Raquetazo vs Victor 35–15 70.00%
Raquetazo vs Jun 29–20 59.18%
Raquetazo vs Shaheen 22–25 46.81%
Raquetazo vs Paul 25–21 54.35%
Raquetazo vs Kazuya 29–16 64.44%
Raquetazo vs Jack-8 24–18 57.14%
Raquetazo vs Reina 27–15 64.29%
Raquetazo vs Claudio 19–21 47.50%
Raquetazo vs Zafina 20–18 52.63%
Raquetazo vs Lee 23–14 62.16%
Raquetazo vs Eddy 20–14 58.82%
Raquetazo vs Raven 14–19 42.42%
Raquetazo vs Law 14–15 48.28%
Raquetazo vs Nina 16–12 57.14%
Raquetazo vs Heihachi 14–14 50.00%
Raquetazo vs Lili 14–11 56.00%
Raquetazo vs Leo 19–5 79.17%
Raquetazo vs Kuma 14–10 58.33%
Raquetazo vs Leroy 13–11 54.17%
Raquetazo vs Clive 7–14 33.33%
Raquetazo vs Anna 10–8 55.56%
Raquetazo vs Panda 11–6 64.71%
Raquetazo vs Alisa 10–6 62.50%
Raquetazo vs Feng 7–7 50.00%
Raquetazo vs Lidia 3–9 25.00%
Raquetazo vs Armor King 3–5 37.50%
Raquetazo vs Fahkumram 5–2 71.43%

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.