Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LorensO vs Kazuya 341–353 49.14%
LorensO vs Jin 255–311 45.05%
LorensO vs Bryan 217–282 43.49%
LorensO vs King 234–238 49.58%
LorensO vs Dragunov 136–195 41.09%
LorensO vs Reina 159–166 48.92%
LorensO vs Heihachi 141–171 45.19%
LorensO vs Hwoarang 124–187 39.87%
LorensO vs Devil Jin 127–160 44.25%
LorensO vs Paul 122–150–1 44.85%
LorensO vs Steve 116–135 46.22%
LorensO vs Law 90–148 37.82%
LorensO vs Yoshimitsu 109–117 48.23%
LorensO vs Lili 95–125–1 43.18%
LorensO vs Lee 70–103 40.46%
LorensO vs Jun 97–72 57.40%
LorensO vs Asuka 71–90 44.10%
LorensO vs Alisa 71–83 46.10%
LorensO vs Lars 69–78 46.94%
LorensO vs Feng 68–75 47.55%
LorensO vs Azucena 78–58 57.35%
LorensO vs Victor 67–65 50.76%
LorensO vs Eddy 53–66 44.54%
LorensO vs Nina 57–61 48.31%
LorensO vs Jack-8 40–73 35.40%
LorensO vs Xiaoyu 44–62 41.51%
LorensO vs Leroy 49–46 51.58%
LorensO vs Lidia 38–55 40.86%
LorensO vs Armor King 45–44 50.56%
LorensO vs Leo 37–46 44.58%
LorensO vs Fahkumram 45–36 55.56%
LorensO vs Claudio 24–45 34.78%
LorensO vs Clive 27–41 39.71%
LorensO vs Anna 29–38 43.28%
LorensO vs Raven 17–25 40.48%
LorensO vs Kuma 16–25 39.02%
LorensO vs Zafina 19–21 47.50%
LorensO vs Shaheen 22–15 59.46%
LorensO vs Miary Zo 12–8 60.00%
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.