Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

cook1117 vs Kazuya 78–67 53.79%
cook1117 vs Bryan 63–71 47.01%
cook1117 vs Paul 61–58 51.26%
cook1117 vs Hwoarang 43–62 40.95%
cook1117 vs Steve 44–50 46.81%
cook1117 vs Reina 54–36 60.00%
cook1117 vs Asuka 33–50 39.76%
cook1117 vs Heihachi 48–35 57.83%
cook1117 vs Jin 43–38 53.09%
cook1117 vs King 38–42 47.50%
cook1117 vs Dragunov 37–39 48.68%
cook1117 vs Lili 30–33 47.62%
cook1117 vs Law 29–32 47.54%
cook1117 vs Alisa 28–27 50.91%
cook1117 vs Jun 27–26 50.94%
cook1117 vs Devil Jin 27–20 57.45%
cook1117 vs Claudio 18–27 40.00%
cook1117 vs Fahkumram 16–26 38.10%
cook1117 vs Lee 17–24 41.46%
cook1117 vs Armor King 17–24 41.46%
cook1117 vs Xiaoyu 25–15 62.50%
cook1117 vs Leo 18–21 46.15%
cook1117 vs Lidia 16–22 42.11%
cook1117 vs Lars 16–21 43.24%
cook1117 vs Victor 14–23 37.84%
cook1117 vs Feng 15–19 44.12%
cook1117 vs Clive 16–17 48.48%
cook1117 vs Leroy 12–20 37.50%
cook1117 vs Yoshimitsu 9–22 29.03%
cook1117 vs Nina 16–15 51.61%
cook1117 vs Azucena 12–17 41.38%
cook1117 vs Jack-8 10–17 37.04%
cook1117 vs Miary Zo 12–11 52.17%
cook1117 vs Eddy 11–11 50.00%
cook1117 vs Raven 9–12 42.86%
cook1117 vs Shaheen 10–8 55.56%
cook1117 vs Zafina 4–9 30.77%
cook1117 vs Kuma 5–6 45.45%
cook1117 vs Anna 4–6 40.00%
cook1117 vs Panda 1–7 12.50%

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.