Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Neohriginal

Ratings

Neohriginal vs Jin 141–73 65.89%
Neohriginal vs Clive 90–103 46.63%
Neohriginal vs Bryan 85–65 56.67%
Neohriginal vs King 77–55 58.33%
Neohriginal vs Dragunov 63–54 53.85%
Neohriginal vs Law 62–53 53.91%
Neohriginal vs Kazuya 66–49 57.39%
Neohriginal vs Hwoarang 65–46 58.56%
Neohriginal vs Paul 60–47 56.07%
Neohriginal vs Heihachi 44–59 42.72%
Neohriginal vs Lili 60–41 59.41%
Neohriginal vs Jun 50–48 51.02%
Neohriginal vs Reina 50–48 51.02%
Neohriginal vs Steve 50–47 51.55%
Neohriginal vs Nina 60–30 66.67%
Neohriginal vs Lars 50–38 56.82%
Neohriginal vs Feng 46–38 54.76%
Neohriginal vs Yoshimitsu 40–43 48.19%
Neohriginal vs Victor 36–44 45.00%
Neohriginal vs Devil Jin 41–36 53.25%
Neohriginal vs Xiaoyu 35–33 51.47%
Neohriginal vs Jack-8 28–39 41.79%
Neohriginal vs Lee 33–34 49.25%
Neohriginal vs Leroy 37–29 56.06%
Neohriginal vs Alisa 27–38 41.54%
Neohriginal vs Asuka 23–37 38.33%
Neohriginal vs Claudio 29–30 49.15%
Neohriginal vs Azucena 20–30 40.00%
Neohriginal vs Eddy 20–25 44.44%
Neohriginal vs Leo 23–19 54.76%
Neohriginal vs Shaheen 15–26 36.59%
Neohriginal vs Raven 15–26 36.59%
Neohriginal vs Zafina 9–23 28.12%
Neohriginal vs Kuma 14–17 45.16%
Neohriginal vs Lidia 10–21 32.26%
Neohriginal vs Panda 13–6 68.42%

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.