Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Alphinx vs Jin 257–239–1 51.81%
Alphinx vs Kazuya 228–242 48.51%
Alphinx vs Hwoarang 227–182 55.50%
Alphinx vs King 193–193 50.00%
Alphinx vs Bryan 187–177 51.37%
Alphinx vs Law 165–163 50.30%
Alphinx vs Reina 151–150 50.17%
Alphinx vs Paul 151–135 52.80%
Alphinx vs Yoshimitsu 144–137 51.25%
Alphinx vs Dragunov 127–140–1 47.57%
Alphinx vs Steve 108–117 48.00%
Alphinx vs Lili 102–115 47.00%
Alphinx vs Jun 76–107 41.53%
Alphinx vs Asuka 91–88 50.84%
Alphinx vs Devil Jin 78–98 44.32%
Alphinx vs Xiaoyu 83–88 48.54%
Alphinx vs Lee 74–85 46.54%
Alphinx vs Eddy 72–87 45.28%
Alphinx vs Nina 93–59 61.18%
Alphinx vs Azucena 71–79 47.33%
Alphinx vs Heihachi 71–78 47.65%
Alphinx vs Feng 50–89–1 35.97%
Alphinx vs Victor 58–79 42.34%
Alphinx vs Alisa 61–71 46.21%
Alphinx vs Lars 55–73 42.97%
Alphinx vs Clive 55–57 49.11%
Alphinx vs Raven 50–58 46.30%
Alphinx vs Leroy 57–48 54.29%
Alphinx vs Claudio 41–53 43.62%
Alphinx vs Jack-8 38–45 45.78%
Alphinx vs Lidia 37–45 45.12%
Alphinx vs Armor King 42–40 51.22%
Alphinx vs Leo 34–38 47.22%
Alphinx vs Kuma 25–36 40.98%
Alphinx vs Fahkumram 27–24 52.94%
Alphinx vs Zafina 24–24 50.00%
Alphinx vs Shaheen 17–20 45.95%
Alphinx vs Anna 11–25 30.56%
Alphinx vs Miary Zo 14–16 46.67%
Alphinx vs Panda 11–15 42.31%

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.