Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kawaii_t vs Hwoarang 90–85 51.43%
kawaii_t vs Dragunov 71–95 42.77%
kawaii_t vs Jin 68–77 46.90%
kawaii_t vs Kazuya 73–66 52.52%
kawaii_t vs Paul 75–63 54.35%
kawaii_t vs Bryan 81–45 64.29%
kawaii_t vs King 47–78 37.60%
kawaii_t vs Yoshimitsu 46–55 45.54%
kawaii_t vs Reina 54–39 58.06%
kawaii_t vs Asuka 49–41 54.44%
kawaii_t vs Nina 48–41 53.93%
kawaii_t vs Law 42–46 47.73%
kawaii_t vs Victor 37–47 44.05%
kawaii_t vs Azucena 42–37 53.16%
kawaii_t vs Feng 37–39 48.68%
kawaii_t vs Steve 32–37 46.38%
kawaii_t vs Lee 37–31 54.41%
kawaii_t vs Armor King 36–32 52.94%
kawaii_t vs Xiaoyu 36–30 54.55%
kawaii_t vs Devil Jin 33–32 50.77%
kawaii_t vs Lili 41–23 64.06%
kawaii_t vs Lars 28–36 43.75%
kawaii_t vs Leo 33–30 52.38%
kawaii_t vs Jun 33–29 53.23%
kawaii_t vs Alisa 19–37 33.93%
kawaii_t vs Heihachi 32–23 58.18%
kawaii_t vs Jack-8 22–21 51.16%
kawaii_t vs Leroy 25–18 58.14%
kawaii_t vs Shaheen 17–24 41.46%
kawaii_t vs Eddy 23–18 56.10%
kawaii_t vs Kuma 15–25 37.50%
kawaii_t vs Zafina 17–21 44.74%
kawaii_t vs Claudio 18–19 48.65%
kawaii_t vs Clive 19–11 63.33%
kawaii_t vs Lidia 10–15 40.00%
kawaii_t vs Raven 8–11 42.11%
kawaii_t vs Fahkumram 11–4 73.33%
kawaii_t vs Anna 5–9 35.71%
kawaii_t vs Miary Zo 6–7 46.15%
kawaii_t vs Panda 5–3 62.50%

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.