Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Monebooks vs Kazuya 108–54 66.67%
Monebooks vs Jin 83–44 65.35%
Monebooks vs Dragunov 78–47 62.40%
Monebooks vs Bryan 84–40 67.74%
Monebooks vs Paul 78–39 66.67%
Monebooks vs King 57–42 57.58%
Monebooks vs Heihachi 63–36 63.64%
Monebooks vs Law 62–36 63.27%
Monebooks vs Reina 57–31 64.77%
Monebooks vs Lili 54–32 62.79%
Monebooks vs Victor 58–27 68.24%
Monebooks vs Hwoarang 43–40 51.81%
Monebooks vs Steve 49–31 61.25%
Monebooks vs Lidia 50–28 64.10%
Monebooks vs Devil Jin 40–30 57.14%
Monebooks vs Clive 39–31 55.71%
Monebooks vs Jun 41–21 66.13%
Monebooks vs Feng 34–25 57.63%
Monebooks vs Asuka 36–22 62.07%
Monebooks vs Yoshimitsu 36–19 65.45%
Monebooks vs Xiaoyu 36–19 65.45%
Monebooks vs Kuma 35–20 63.64%
Monebooks vs Azucena 36–19 65.45%
Monebooks vs Nina 37–17 68.52%
Monebooks vs Lars 32–20 61.54%
Monebooks vs Jack-8 32–16 66.67%
Monebooks vs Alisa 27–19 58.70%
Monebooks vs Lee 27–17 61.36%
Monebooks vs Claudio 28–14 66.67%
Monebooks vs Leroy 27–13 67.50%
Monebooks vs Eddy 21–14 60.00%
Monebooks vs Zafina 22–12 64.71%
Monebooks vs Raven 17–9 65.38%
Monebooks vs Shaheen 9–15 37.50%
Monebooks vs Leo 8–15 34.78%
Monebooks vs Anna 7–5 58.33%
Monebooks vs Panda 7–3 70.00%
Monebooks vs Fahkumram 0–2 0.00%

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.