Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Phytalus vs Reina 60–78 43.48%
Phytalus vs Kazuya 60–74 44.78%
Phytalus vs King 61–64 48.80%
Phytalus vs Heihachi 52–69 42.98%
Phytalus vs Bryan 59–55 51.75%
Phytalus vs Jin 48–58 45.28%
Phytalus vs Steve 40–56 41.67%
Phytalus vs Hwoarang 47–42 52.81%
Phytalus vs Lee 31–51 37.80%
Phytalus vs Law 41–40 50.62%
Phytalus vs Dragunov 45–35 56.25%
Phytalus vs Azucena 32–46 41.03%
Phytalus vs Paul 31–45 40.79%
Phytalus vs Yoshimitsu 32–31 50.79%
Phytalus vs Jun 24–36 40.00%
Phytalus vs Lili 23–32 41.82%
Phytalus vs Lars 26–29 47.27%
Phytalus vs Lidia 36–19 65.45%
Phytalus vs Eddy 20–34 37.04%
Phytalus vs Asuka 16–36–1 30.77%
Phytalus vs Devil Jin 22–23 48.89%
Phytalus vs Claudio 24–21 53.33%
Phytalus vs Clive 21–24 46.67%
Phytalus vs Feng 21–23 47.73%
Phytalus vs Nina 21–23 47.73%
Phytalus vs Raven 14–27 34.15%
Phytalus vs Xiaoyu 19–21 47.50%
Phytalus vs Victor 13–25 34.21%
Phytalus vs Leo 14–19 42.42%
Phytalus vs Leroy 12–21 36.36%
Phytalus vs Jack-8 14–17 45.16%
Phytalus vs Zafina 15–15 50.00%
Phytalus vs Armor King 11–19 36.67%
Phytalus vs Kuma 10–14 41.67%
Phytalus vs Alisa 6–13 31.58%
Phytalus vs Fahkumram 13–6 68.42%
Phytalus vs Shaheen 7–9 43.75%
Phytalus vs Miary Zo 8–8 50.00%
Phytalus vs Anna 5–4 55.56%
Phytalus vs Panda 0–6 0.00%

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.