Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

lura mera
Aizen
Marco
Trophy GG
noreplay
hanma
Uwon free point
hades
smurf
lura mera vs Bryan 79–75 51.30%
lura mera vs Dragunov 70–76 47.95%
lura mera vs King 72–72 50.00%
lura mera vs Paul 80–55 59.26%
lura mera vs Jin 80–51 61.07%
lura mera vs Kazuya 71–58 55.04%
lura mera vs Devil Jin 65–63 50.78%
lura mera vs Law 68–51 57.14%
lura mera vs Hwoarang 51–47 52.04%
lura mera vs Yoshimitsu 48–41 53.93%
lura mera vs Lars 39–45 46.43%
lura mera vs Reina 46–37 55.42%
lura mera vs Feng 36–40 47.37%
lura mera vs Lidia 24–49 32.88%
lura mera vs Alisa 43–26 62.32%
lura mera vs Lili 24–42–1 36.36%
lura mera vs Lee 29–36 44.62%
lura mera vs Leroy 40–21 65.57%
lura mera vs Jun 35–24 59.32%
lura mera vs Azucena 26–32 44.83%
lura mera vs Eddy 30–27 52.63%
lura mera vs Heihachi 27–30 47.37%
lura mera vs Victor 32–20 61.54%
lura mera vs Nina 25–23 52.08%
lura mera vs Xiaoyu 26–21 55.32%
lura mera vs Claudio 22–24 47.83%
lura mera vs Steve 24–19 55.81%
lura mera vs Leo 18–25 41.86%
lura mera vs Jack-8 18–21 46.15%
lura mera vs Raven 25–13 65.79%
lura mera vs Asuka 22–14 61.11%
lura mera vs Zafina 19–17 52.78%
lura mera vs Kuma 15–16 48.39%
lura mera vs Shaheen 8–14 36.36%
lura mera vs Panda 8–13 38.10%
lura mera vs Clive 3–4 42.86%

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.