Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

one bigly vs King 48–79 37.80%
one bigly vs Kazuya 49–73–1 40.16%
one bigly vs Reina 50–58 46.30%
one bigly vs Bryan 33–62 34.74%
one bigly vs Jin 30–52 36.59%
one bigly vs Azucena 31–37 45.59%
one bigly vs Jun 27–38 41.54%
one bigly vs Heihachi 23–42 35.38%
one bigly vs Steve 28–36 43.75%
one bigly vs Clive 21–41 33.87%
one bigly vs Armor King 24–31 43.64%
one bigly vs Dragunov 21–30 41.18%
one bigly vs Lili 9–38 19.15%
one bigly vs Asuka 21–23 47.73%
one bigly vs Hwoarang 13–29 30.95%
one bigly vs Lidia 13–29 30.95%
one bigly vs Yoshimitsu 22–19 53.66%
one bigly vs Lee 19–19 50.00%
one bigly vs Fahkumram 10–23 30.30%
one bigly vs Law 6–26 18.75%
one bigly vs Devil Jin 8–24 25.00%
one bigly vs Paul 9–22 29.03%
one bigly vs Eddy 10–21 32.26%
one bigly vs Claudio 8–22 26.67%
one bigly vs Xiaoyu 13–16 44.83%
one bigly vs Lars 14–15 48.28%
one bigly vs Nina 16–13 55.17%
one bigly vs Alisa 14–13 51.85%
one bigly vs Leroy 9–16 36.00%
one bigly vs Victor 10–13 43.48%
one bigly vs Miary Zo 10–11 47.62%
one bigly vs Raven 8–12 40.00%
one bigly vs Jack-8 8–11 42.11%
one bigly vs Feng 5–14 26.32%
one bigly vs Anna 8–11 42.11%
one bigly vs Shaheen 5–9 35.71%
one bigly vs Kuma 0–14 0.00%
one bigly vs Zafina 7–6 53.85%
one bigly vs Leo 6–6 50.00%
one bigly vs Panda 0–4 0.00%

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.