Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Andreas vs Jin 308–210 59.46%
Andreas vs Kazuya 296–170 63.52%
Andreas vs King 217–146 59.78%
Andreas vs Hwoarang 220–136 61.80%
Andreas vs Heihachi 178–178 50.00%
Andreas vs Bryan 198–138 58.93%
Andreas vs Paul 186–103 64.36%
Andreas vs Law 178–111 61.59%
Andreas vs Dragunov 161–105 60.53%
Andreas vs Devil Jin 132–122 51.97%
Andreas vs Steve 140–99 58.58%
Andreas vs Yoshimitsu 133–89 59.91%
Andreas vs Lars 121–68 64.02%
Andreas vs Lee 97–84 53.59%
Andreas vs Reina 114–65 63.69%
Andreas vs Jun 110–67 62.15%
Andreas vs Lili 127–48 72.57%
Andreas vs Alisa 120–52 69.77%
Andreas vs Asuka 107–44 70.86%
Andreas vs Nina 105–44 70.47%
Andreas vs Fahkumram 71–49 59.17%
Andreas vs Eddy 85–34 71.43%
Andreas vs Feng 76–42 64.41%
Andreas vs Xiaoyu 76–39 66.09%
Andreas vs Anna 72–43 62.61%
Andreas vs Armor King 72–38 65.45%
Andreas vs Leroy 67–27 71.28%
Andreas vs Azucena 56–35 61.54%
Andreas vs Victor 55–29 65.48%
Andreas vs Raven 51–31 62.20%
Andreas vs Lidia 44–30 59.46%
Andreas vs Leo 39–34 53.42%
Andreas vs Claudio 47–26 64.38%
Andreas vs Clive 37–32 53.62%
Andreas vs Shaheen 33–31 51.56%
Andreas vs Jack-8 41–17 70.69%
Andreas vs Zafina 36–18 66.67%
Andreas vs Kuma 25–11 69.44%
Andreas vs Panda 12–17 41.38%
Andreas vs Miary Zo 14–9 60.87%

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.