Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lunlumo vs Kazuya 506–387 56.66%
Lunlumo vs Bryan 324–241 57.35%
Lunlumo vs Jin 277–244 53.17%
Lunlumo vs Heihachi 213–232 47.87%
Lunlumo vs Reina 247–181 57.71%
Lunlumo vs King 169–203 45.43%
Lunlumo vs Paul 177–169 51.16%
Lunlumo vs Steve 195–150 56.52%
Lunlumo vs Devil Jin 167–148 53.02%
Lunlumo vs Dragunov 139–171 44.84%
Lunlumo vs Hwoarang 144–154 48.32%
Lunlumo vs Lee 158–126 55.63%
Lunlumo vs Yoshimitsu 114–144 44.19%
Lunlumo vs Lidia 115–128 47.33%
Lunlumo vs Law 124–98 55.86%
Lunlumo vs Lili 136–80 62.96%
Lunlumo vs Azucena 137–77 64.02%
Lunlumo vs Asuka 96–103 48.24%
Lunlumo vs Jun 86–104 45.26%
Lunlumo vs Feng 74–99 42.77%
Lunlumo vs Clive 81–91 47.09%
Lunlumo vs Victor 77–73 51.33%
Lunlumo vs Xiaoyu 68–78 46.58%
Lunlumo vs Leroy 67–70 48.91%
Lunlumo vs Eddy 64–69 48.12%
Lunlumo vs Nina 61–70 46.56%
Lunlumo vs Lars 50–76 39.68%
Lunlumo vs Claudio 52–61 46.02%
Lunlumo vs Alisa 47–64 42.34%
Lunlumo vs Armor King 41–70 36.94%
Lunlumo vs Zafina 48–60 44.44%
Lunlumo vs Raven 42–66 38.89%
Lunlumo vs Jack-8 48–54 47.06%
Lunlumo vs Leo 52–48 52.00%
Lunlumo vs Shaheen 48–50 48.98%
Lunlumo vs Anna 35–50 41.18%
Lunlumo vs Fahkumram 37–42 46.84%
Lunlumo vs Kuma 32–40 44.44%
Lunlumo vs Miary Zo 29–31 48.33%
Lunlumo vs Panda 9–25 26.47%

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.