Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tibetz9 vs Kazuya 372–395 48.50%
Tibetz9 vs Jin 322–351 47.85%
Tibetz9 vs King 245–278 46.85%
Tibetz9 vs Hwoarang 201–321 38.51%
Tibetz9 vs Heihachi 227–268 45.86%
Tibetz9 vs Bryan 210–215 49.41%
Tibetz9 vs Law 175–234 42.79%
Tibetz9 vs Steve 172–220 43.88%
Tibetz9 vs Reina 175–211 45.34%
Tibetz9 vs Dragunov 151–201 42.90%
Tibetz9 vs Yoshimitsu 150–168 47.17%
Tibetz9 vs Paul 150–161 48.23%
Tibetz9 vs Lee 134–161 45.42%
Tibetz9 vs Devil Jin 130–136 48.87%
Tibetz9 vs Lili 111–153 42.05%
Tibetz9 vs Victor 124–105 54.15%
Tibetz9 vs Jun 107–117 47.77%
Tibetz9 vs Eddy 88–127 40.93%
Tibetz9 vs Xiaoyu 90–104 46.39%
Tibetz9 vs Feng 81–110 42.41%
Tibetz9 vs Alisa 93–92 50.27%
Tibetz9 vs Nina 79–101 43.89%
Tibetz9 vs Asuka 84–95 46.93%
Tibetz9 vs Armor King 78–84 48.15%
Tibetz9 vs Azucena 77–84 47.83%
Tibetz9 vs Lidia 73–81 47.40%
Tibetz9 vs Lars 46–76 37.70%
Tibetz9 vs Leroy 54–59 47.79%
Tibetz9 vs Claudio 49–58 45.79%
Tibetz9 vs Clive 53–49 51.96%
Tibetz9 vs Jack-8 39–60 39.39%
Tibetz9 vs Raven 35–60 36.84%
Tibetz9 vs Anna 34–60 36.17%
Tibetz9 vs Shaheen 38–36 51.35%
Tibetz9 vs Leo 37–33 52.86%
Tibetz9 vs Kuma 32–30 51.61%
Tibetz9 vs Zafina 21–37 36.21%
Tibetz9 vs Fahkumram 21–30 41.18%
Tibetz9 vs Panda 10–8 55.56%
Tibetz9 vs Miary Zo 12–3 80.00%

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.