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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LorensO vs Kazuya 362–378 48.92%
LorensO vs Jin 265–319 45.38%
LorensO vs Bryan 225–303 42.61%
LorensO vs King 252–253 49.90%
LorensO vs Dragunov 142–209 40.46%
LorensO vs Heihachi 158–184 46.20%
LorensO vs Reina 161–174 48.06%
LorensO vs Hwoarang 133–192 40.92%
LorensO vs Devil Jin 138–173 44.37%
LorensO vs Paul 128–157–1 44.91%
LorensO vs Steve 129–140 47.96%
LorensO vs Law 96–157 37.94%
LorensO vs Yoshimitsu 119–129 47.98%
LorensO vs Lili 107–133–1 44.58%
LorensO vs Lee 78–112 41.05%
LorensO vs Asuka 79–98 44.63%
LorensO vs Jun 100–77 56.50%
LorensO vs Alisa 76–88 46.34%
LorensO vs Lars 74–83 47.13%
LorensO vs Azucena 86–68 55.84%
LorensO vs Feng 72–80 47.37%
LorensO vs Victor 69–70 49.64%
LorensO vs Eddy 60–69 46.51%
LorensO vs Xiaoyu 53–71 42.74%
LorensO vs Nina 61–62 49.59%
LorensO vs Jack-8 43–79 35.25%
LorensO vs Armor King 61–51 54.46%
LorensO vs Leroy 50–47 51.55%
LorensO vs Lidia 40–57 41.24%
LorensO vs Fahkumram 50–43 53.76%
LorensO vs Leo 37–46 44.58%
LorensO vs Clive 33–43 43.42%
LorensO vs Anna 31–41 43.06%
LorensO vs Claudio 24–46 34.29%
LorensO vs Raven 23–31 42.59%
LorensO vs Zafina 26–27 49.06%
LorensO vs Kuma 18–25 41.86%
LorensO vs Shaheen 22–15 59.46%
LorensO vs Miary Zo 12–10 54.55%
LorensO vs Panda 8–6 57.14%

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.