Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Naritaka vs Bryan 78–75 50.98%
Naritaka vs Hwoarang 80–68 54.05%
Naritaka vs Heihachi 70–77 47.62%
Naritaka vs Dragunov 68–77 46.90%
Naritaka vs King 89–54 62.24%
Naritaka vs Paul 69–60 53.49%
Naritaka vs Kazuya 73–52 58.40%
Naritaka vs Jin 62–49 55.86%
Naritaka vs Reina 53–58 47.75%
Naritaka vs Asuka 59–44 57.28%
Naritaka vs Azucena 46–43 51.69%
Naritaka vs Lili 51–37 57.95%
Naritaka vs Victor 47–37 55.95%
Naritaka vs Law 48–30 61.54%
Naritaka vs Lars 35–39 47.30%
Naritaka vs Feng 38–35 52.05%
Naritaka vs Steve 42–30 58.33%
Naritaka vs Jun 40–28 58.82%
Naritaka vs Alisa 38–29 56.72%
Naritaka vs Claudio 36–27 57.14%
Naritaka vs Nina 39–22 63.93%
Naritaka vs Lee 28–32 46.67%
Naritaka vs Devil Jin 26–33 44.07%
Naritaka vs Leroy 30–28 51.72%
Naritaka vs Yoshimitsu 30–27 52.63%
Naritaka vs Xiaoyu 31–25 55.36%
Naritaka vs Jack-8 35–20 63.64%
Naritaka vs Lidia 28–27 50.91%
Naritaka vs Leo 23–28 45.10%
Naritaka vs Shaheen 25–24 51.02%
Naritaka vs Raven 19–26 42.22%
Naritaka vs Eddy 27–18 60.00%
Naritaka vs Zafina 12–25 32.43%
Naritaka vs Anna 15–19 44.12%
Naritaka vs Panda 9–13 40.91%
Naritaka vs Kuma 6–13 31.58%
Naritaka vs Clive 6–12 33.33%
Naritaka vs Fahkumram 9–7 56.25%
Naritaka vs Armor King 11–3 78.57%
Naritaka vs Miary Zo 4–7 36.36%

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.