Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Neotoskr vs Dragunov 90–87 50.85%
Neotoskr vs Jin 75–50 60.00%
Neotoskr vs King 80–41 66.12%
Neotoskr vs Kazuya 64–45 58.72%
Neotoskr vs Bryan 72–35 67.29%
Neotoskr vs Hwoarang 48–44 52.17%
Neotoskr vs Lili 55–33 62.50%
Neotoskr vs Paul 44–34 56.41%
Neotoskr vs Yoshimitsu 49–27 64.47%
Neotoskr vs Devil Jin 49–27 64.47%
Neotoskr vs Lee 45–31 59.21%
Neotoskr vs Lars 46–29 61.33%
Neotoskr vs Alisa 48–25 65.75%
Neotoskr vs Reina 37–36 50.68%
Neotoskr vs Jun 46–26 63.89%
Neotoskr vs Xiaoyu 40–31 56.34%
Neotoskr vs Law 42–28 60.00%
Neotoskr vs Leroy 33–34 49.25%
Neotoskr vs Victor 38–27 58.46%
Neotoskr vs Feng 32–28 53.33%
Neotoskr vs Steve 24–29 45.28%
Neotoskr vs Leo 29–21 58.00%
Neotoskr vs Nina 29–21 58.00%
Neotoskr vs Heihachi 29–21 58.00%
Neotoskr vs Eddy 28–21 57.14%
Neotoskr vs Azucena 27–18 60.00%
Neotoskr vs Asuka 23–21 52.27%
Neotoskr vs Jack-8 17–24 41.46%
Neotoskr vs Zafina 24–14 63.16%
Neotoskr vs Claudio 22–14 61.11%
Neotoskr vs Kuma 16–19 45.71%
Neotoskr vs Shaheen 15–19 44.12%
Neotoskr vs Raven 13–19 40.62%
Neotoskr vs Anna 22–9 70.97%
Neotoskr vs Lidia 10–18 35.71%
Neotoskr vs Armor King 16–6 72.73%
Neotoskr vs Fahkumram 9–10 47.37%
Neotoskr vs Clive 9–8 52.94%
Neotoskr vs Miary Zo 7–6 53.85%
Neotoskr vs Panda 3–9 25.00%

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.