Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Andy17sc vs Jin 128–129 49.81%
Andy17sc vs King 109–138 44.13%
Andy17sc vs Kazuya 97–110 46.86%
Andy17sc vs Dragunov 76–97 43.93%
Andy17sc vs Reina 97–72 57.40%
Andy17sc vs Lidia 88–76 53.66%
Andy17sc vs Heihachi 71–89 44.38%
Andy17sc vs Bryan 76–79 49.03%
Andy17sc vs Asuka 62–62 50.00%
Andy17sc vs Steve 55–68 44.72%
Andy17sc vs Lili 51–58 46.79%
Andy17sc vs Hwoarang 54–52 50.94%
Andy17sc vs Paul 47–54 46.53%
Andy17sc vs Law 46–52 46.94%
Andy17sc vs Clive 38–57 40.00%
Andy17sc vs Devil Jin 32–59 35.16%
Andy17sc vs Azucena 43–42 50.59%
Andy17sc vs Yoshimitsu 39–43 47.56%
Andy17sc vs Victor 31–40 43.66%
Andy17sc vs Eddy 39–31 55.71%
Andy17sc vs Feng 20–41 32.79%
Andy17sc vs Lars 31–27 53.45%
Andy17sc vs Nina 23–22 51.11%
Andy17sc vs Lee 20–21 48.78%
Andy17sc vs Jun 17–23 42.50%
Andy17sc vs Jack-8 17–22 43.59%
Andy17sc vs Xiaoyu 19–19 50.00%
Andy17sc vs Claudio 13–24 35.14%
Andy17sc vs Alisa 10–25 28.57%
Andy17sc vs Leo 15–19 44.12%
Andy17sc vs Leroy 11–23 32.35%
Andy17sc vs Armor King 11–22 33.33%
Andy17sc vs Kuma 6–17 26.09%
Andy17sc vs Raven 14–9 60.87%
Andy17sc vs Shaheen 7–7 50.00%
Andy17sc vs Zafina 6–7 46.15%
Andy17sc vs Fahkumram 5–8 38.46%
Andy17sc vs Miary Zo 7–3 70.00%
Andy17sc vs Anna 1–7 12.50%
Andy17sc vs Panda 7–0 100.00%

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.