Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lunlumo vs Kazuya 483–375 56.29%
Lunlumo vs Bryan 308–227 57.57%
Lunlumo vs Jin 268–239 52.86%
Lunlumo vs Heihachi 206–225 47.80%
Lunlumo vs Reina 235–173 57.60%
Lunlumo vs King 161–197 44.97%
Lunlumo vs Paul 167–160 51.07%
Lunlumo vs Steve 184–143 56.27%
Lunlumo vs Devil Jin 159–143 52.65%
Lunlumo vs Hwoarang 139–152 47.77%
Lunlumo vs Dragunov 129–162 44.33%
Lunlumo vs Lee 150–116 56.39%
Lunlumo vs Yoshimitsu 109–138 44.13%
Lunlumo vs Lidia 113–122 48.09%
Lunlumo vs Law 116–96 54.72%
Lunlumo vs Lili 133–72 64.88%
Lunlumo vs Azucena 129–72 64.18%
Lunlumo vs Asuka 91–100 47.64%
Lunlumo vs Jun 76–99 43.43%
Lunlumo vs Clive 79–89 47.02%
Lunlumo vs Feng 69–94 42.33%
Lunlumo vs Victor 74–73 50.34%
Lunlumo vs Xiaoyu 63–75 45.65%
Lunlumo vs Eddy 64–67 48.85%
Lunlumo vs Leroy 63–65 49.22%
Lunlumo vs Nina 57–69 45.24%
Lunlumo vs Lars 50–72 40.98%
Lunlumo vs Claudio 48–60 44.44%
Lunlumo vs Raven 42–63 40.00%
Lunlumo vs Alisa 42–62 40.38%
Lunlumo vs Zafina 42–60 41.18%
Lunlumo vs Leo 52–48 52.00%
Lunlumo vs Jack-8 42–51 45.16%
Lunlumo vs Shaheen 45–48 48.39%
Lunlumo vs Armor King 28–55 33.73%
Lunlumo vs Anna 34–45 43.04%
Lunlumo vs Fahkumram 36–42 46.15%
Lunlumo vs Kuma 31–40 43.66%
Lunlumo vs Miary Zo 23–22 51.11%
Lunlumo vs Panda 9–23 28.12%

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.