Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Eivor180 vs Jin 236–229 50.75%
Eivor180 vs Kazuya 220–205 51.76%
Eivor180 vs Law 152–178 46.06%
Eivor180 vs Hwoarang 152–176 46.34%
Eivor180 vs King 153–158 49.20%
Eivor180 vs Bryan 162–141 53.47%
Eivor180 vs Paul 114–134 45.97%
Eivor180 vs Reina 127–113–1 52.92%
Eivor180 vs Yoshimitsu 128–107 54.47%
Eivor180 vs Steve 115–109 51.34%
Eivor180 vs Dragunov 107–108 49.77%
Eivor180 vs Xiaoyu 81–87 48.21%
Eivor180 vs Devil Jin 77–85 47.53%
Eivor180 vs Eddy 73–85 46.20%
Eivor180 vs Alisa 57–99 36.54%
Eivor180 vs Lili 48–102 32.00%
Eivor180 vs Jun 71–79 47.33%
Eivor180 vs Heihachi 58–90 39.19%
Eivor180 vs Lee 70–77 47.62%
Eivor180 vs Asuka 62–69 47.33%
Eivor180 vs Feng 59–69 46.09%
Eivor180 vs Azucena 55–68 44.72%
Eivor180 vs Nina 64–48 57.14%
Eivor180 vs Victor 43–67 39.09%
Eivor180 vs Lars 47–46 50.54%
Eivor180 vs Leroy 38–46 45.24%
Eivor180 vs Raven 36–45 44.44%
Eivor180 vs Jack-8 29–50 36.71%
Eivor180 vs Lidia 36–34 51.43%
Eivor180 vs Fahkumram 29–40 42.03%
Eivor180 vs Claudio 28–33 45.90%
Eivor180 vs Leo 23–34 40.35%
Eivor180 vs Clive 26–20 56.52%
Eivor180 vs Zafina 15–29 34.09%
Eivor180 vs Kuma 21–21 50.00%
Eivor180 vs Shaheen 21–19 52.50%
Eivor180 vs Anna 20–17 54.05%
Eivor180 vs Panda 11–8 57.89%
Eivor180 vs Armor King 1–3 25.00%

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.