Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Natzhawk vs King 70–144 32.71%
Natzhawk vs Reina 55–71 43.65%
Natzhawk vs Jin 32–89 26.45%
Natzhawk vs Heihachi 38–70 35.19%
Natzhawk vs Steve 31–70 30.69%
Natzhawk vs Hwoarang 28–68 29.17%
Natzhawk vs Kazuya 28–67 29.47%
Natzhawk vs Lili 28–64 30.43%
Natzhawk vs Law 23–65–2 26.14%
Natzhawk vs Dragunov 31–49 38.75%
Natzhawk vs Jun 29–51 36.25%
Natzhawk vs Clive 25–55 31.25%
Natzhawk vs Azucena 23–49 31.94%
Natzhawk vs Bryan 17–48 26.15%
Natzhawk vs Asuka 21–41 33.87%
Natzhawk vs Eddy 19–41 31.67%
Natzhawk vs Lee 14–44 24.14%
Natzhawk vs Victor 14–44 24.14%
Natzhawk vs Lidia 14–43 24.56%
Natzhawk vs Yoshimitsu 23–29–1 44.23%
Natzhawk vs Nina 15–37 28.85%
Natzhawk vs Lars 16–35 31.37%
Natzhawk vs Alisa 8–33 19.51%
Natzhawk vs Xiaoyu 11–28 28.21%
Natzhawk vs Armor King 10–27 27.03%
Natzhawk vs Paul 10–25 28.57%
Natzhawk vs Leo 12–21 36.36%
Natzhawk vs Jack-8 4–25 13.79%
Natzhawk vs Raven 5–23 17.86%
Natzhawk vs Claudio 9–18 33.33%
Natzhawk vs Devil Jin 3–22 12.00%
Natzhawk vs Feng 12–13 48.00%
Natzhawk vs Kuma 6–14 30.00%
Natzhawk vs Zafina 5–14 26.32%
Natzhawk vs Leroy 3–16 15.79%
Natzhawk vs Panda 5–10 33.33%
Natzhawk vs Shaheen 3–11 21.43%
Natzhawk vs Fahkumram 1–8 11.11%
Natzhawk vs Anna 3–2 60.00%
Natzhawk vs Miary Zo 1–4 20.00%

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.