Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
neova

Ratings

neova vs Jin 104–112 48.15%
neova vs Kazuya 103–102 50.24%
neova vs Dragunov 98–98 50.00%
neova vs King 94–90 51.09%
neova vs Reina 69–107 39.20%
neova vs Bryan 59–71 45.38%
neova vs Lili 72–56 56.25%
neova vs Hwoarang 51–71 41.80%
neova vs Law 59–57 50.86%
neova vs Paul 55–46 54.46%
neova vs Victor 33–54 37.93%
neova vs Steve 48–36 57.14%
neova vs Asuka 48–35 57.83%
neova vs Feng 39–42 48.15%
neova vs Jun 39–37 51.32%
neova vs Alisa 42–31 57.53%
neova vs Nina 41–31 56.94%
neova vs Yoshimitsu 29–42 40.85%
neova vs Heihachi 26–45 36.62%
neova vs Eddy 35–35 50.00%
neova vs Leroy 40–28 58.82%
neova vs Lidia 29–37 43.94%
neova vs Leo 23–41 35.94%
neova vs Azucena 20–43 31.75%
neova vs Lee 22–40 35.48%
neova vs Lars 27–33 45.00%
neova vs Xiaoyu 29–25 53.70%
neova vs Devil Jin 27–25 51.92%
neova vs Clive 22–26 45.83%
neova vs Shaheen 15–23 39.47%
neova vs Claudio 16–20 44.44%
neova vs Kuma 17–19 47.22%
neova vs Jack-8 16–16 50.00%
neova vs Zafina 10–17 37.04%
neova vs Raven 6–21 22.22%
neova vs Panda 3–8 27.27%
neova vs Anna 3–8 27.27%

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.