Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Hashious vs Kazuya 114–83 57.87%
Hashious vs Jin 130–52 71.43%
Hashious vs Bryan 79–73 51.97%
Hashious vs Hwoarang 68–61 52.71%
Hashious vs Steve 50–73 40.65%
Hashious vs King 64–56 53.33%
Hashious vs Dragunov 72–48 60.00%
Hashious vs Reina 57–58 49.57%
Hashious vs Yoshimitsu 43–62 40.95%
Hashious vs Lee 54–45 54.55%
Hashious vs Paul 44–48 47.83%
Hashious vs Law 45–45 50.00%
Hashious vs Jun 43–37 53.75%
Hashious vs Lars 36–41 46.75%
Hashious vs Feng 30–43 41.10%
Hashious vs Lili 39–31 55.71%
Hashious vs Devil Jin 29–35 45.31%
Hashious vs Xiaoyu 29–32 47.54%
Hashious vs Azucena 32–28 53.33%
Hashious vs Claudio 34–21 61.82%
Hashious vs Asuka 24–27 47.06%
Hashious vs Nina 20–30 40.00%
Hashious vs Jack-8 23–22 51.11%
Hashious vs Leo 20–25 44.44%
Hashious vs Anna 22–23 48.89%
Hashious vs Alisa 20–24 45.45%
Hashious vs Heihachi 23–18 56.10%
Hashious vs Leroy 12–19 38.71%
Hashious vs Raven 11–18 37.93%
Hashious vs Victor 13–15 46.43%
Hashious vs Zafina 9–16 36.00%
Hashious vs Shaheen 15–9 62.50%
Hashious vs Eddy 7–15 31.82%
Hashious vs Clive 10–11 47.62%
Hashious vs Kuma 7–11 38.89%
Hashious vs Lidia 6–12 33.33%
Hashious vs Armor King 8–4 66.67%
Hashious vs Panda 4–3 57.14%
Hashious vs Fahkumram 3–3 50.00%
Hashious vs Miary Zo 1–1 50.00%

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.