Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Katsubei vs Reina 109–117–1 48.23%
Katsubei vs King 98–91 51.85%
Katsubei vs Dragunov 96–93 50.79%
Katsubei vs Kazuya 75–99 43.10%
Katsubei vs Lili 62–100 38.27%
Katsubei vs Paul 75–74 50.34%
Katsubei vs Asuka 75–73 50.68%
Katsubei vs Jin 75–68 52.45%
Katsubei vs Lidia 76–61 55.47%
Katsubei vs Bryan 61–69 46.92%
Katsubei vs Law 59–58 50.43%
Katsubei vs Jun 53–59 47.32%
Katsubei vs Hwoarang 53–58 47.75%
Katsubei vs Feng 40–64 38.46%
Katsubei vs Azucena 52–46 53.06%
Katsubei vs Steve 56–38 59.57%
Katsubei vs Victor 28–66 29.79%
Katsubei vs Yoshimitsu 44–35 55.70%
Katsubei vs Eddy 25–52 32.47%
Katsubei vs Alisa 29–45 39.19%
Katsubei vs Xiaoyu 32–41 43.84%
Katsubei vs Heihachi 43–30 58.90%
Katsubei vs Lars 26–43 37.68%
Katsubei vs Devil Jin 29–37 43.94%
Katsubei vs Nina 28–32 46.67%
Katsubei vs Leo 28–31 47.46%
Katsubei vs Leroy 35–22 61.40%
Katsubei vs Claudio 23–29 44.23%
Katsubei vs Jack-8 13–35 27.08%
Katsubei vs Shaheen 14–19 42.42%
Katsubei vs Zafina 15–17 46.88%
Katsubei vs Kuma 9–21 30.00%
Katsubei vs Lee 11–17 39.29%
Katsubei vs Raven 8–15 34.78%
Katsubei vs Panda 5–9 35.71%
Katsubei vs Armor King 8–4 66.67%
Katsubei vs Fahkumram 5–5 50.00%
Katsubei vs Miary Zo 6–4 60.00%
Katsubei vs Clive 4–2 66.67%
Katsubei vs Anna 4–1 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.