Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

VegaTron vs Kazuya 77–38 66.96%
VegaTron vs Bryan 67–42 61.47%
VegaTron vs King 61–35 63.54%
VegaTron vs Jin 49–37 56.98%
VegaTron vs Reina 50–33 60.24%
VegaTron vs Hwoarang 47–35 57.32%
VegaTron vs Law 37–36 50.68%
VegaTron vs Lili 33–36 47.83%
VegaTron vs Dragunov 32–35 47.76%
VegaTron vs Paul 43–23 65.15%
VegaTron vs Lars 36–26 58.06%
VegaTron vs Lee 31–28 52.54%
VegaTron vs Asuka 29–24 54.72%
VegaTron vs Devil Jin 25–25–1 50.00%
VegaTron vs Armor King 29–22 56.86%
VegaTron vs Yoshimitsu 18–30 37.50%
VegaTron vs Claudio 27–21 56.25%
VegaTron vs Nina 24–23 51.06%
VegaTron vs Lidia 23–22 51.11%
VegaTron vs Xiaoyu 24–17 58.54%
VegaTron vs Steve 23–18 56.10%
VegaTron vs Azucena 29–12 70.73%
VegaTron vs Anna 19–22 46.34%
VegaTron vs Leo 21–17 55.26%
VegaTron vs Jun 21–16 56.76%
VegaTron vs Heihachi 21–16 56.76%
VegaTron vs Jack-8 20–16 55.56%
VegaTron vs Feng 22–14 61.11%
VegaTron vs Eddy 19–12 61.29%
VegaTron vs Alisa 15–13 53.57%
VegaTron vs Victor 14–14 50.00%
VegaTron vs Kuma 12–11 52.17%
VegaTron vs Leroy 16–7 69.57%
VegaTron vs Miary Zo 12–10 54.55%
VegaTron vs Raven 17–4 80.95%
VegaTron vs Zafina 11–9 55.00%
VegaTron vs Shaheen 7–10 41.18%
VegaTron vs Panda 9–6 60.00%
VegaTron vs Fahkumram 9–6 60.00%
VegaTron vs Clive 7–6 53.85%

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.