Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
NoisyBoy

Ratings

NoisyBoy vs Steve 81–111 42.19%
NoisyBoy vs Jin 60–119 33.52%
NoisyBoy vs Kazuya 49–100 32.89%
NoisyBoy vs Dragunov 48–85 36.09%
NoisyBoy vs King 51–74 40.80%
NoisyBoy vs Bryan 36–77 31.86%
NoisyBoy vs Reina 44–55 44.44%
NoisyBoy vs Fahkumram 21–61 25.61%
NoisyBoy vs Eddy 24–56 30.00%
NoisyBoy vs Law 27–37 42.19%
NoisyBoy vs Armor King 21–43 32.81%
NoisyBoy vs Yoshimitsu 20–43 31.75%
NoisyBoy vs Hwoarang 20–43 31.75%
NoisyBoy vs Asuka 21–38 35.59%
NoisyBoy vs Lili 29–30 49.15%
NoisyBoy vs Azucena 13–44 22.81%
NoisyBoy vs Lars 18–34 34.62%
NoisyBoy vs Paul 13–38 25.49%
NoisyBoy vs Victor 15–32 31.91%
NoisyBoy vs Jun 10–35 22.22%
NoisyBoy vs Lidia 18–26 40.91%
NoisyBoy vs Xiaoyu 15–24 38.46%
NoisyBoy vs Devil Jin 13–25 34.21%
NoisyBoy vs Alisa 17–21 44.74%
NoisyBoy vs Heihachi 10–27 27.03%
NoisyBoy vs Leo 17–19 47.22%
NoisyBoy vs Clive 5–22 18.52%
NoisyBoy vs Jack-8 9–17 34.62%
NoisyBoy vs Anna 9–15 37.50%
NoisyBoy vs Lee 6–17 26.09%
NoisyBoy vs Claudio 4–14 22.22%
NoisyBoy vs Feng 3–14 17.65%
NoisyBoy vs Nina 7–10 41.18%
NoisyBoy vs Leroy 5–12 29.41%
NoisyBoy vs Shaheen 7–7 50.00%
NoisyBoy vs Raven 6–7 46.15%
NoisyBoy vs Miary Zo 2–8 20.00%
NoisyBoy vs Zafina 2–7 22.22%
NoisyBoy vs Kuma 1–6 14.29%
NoisyBoy vs Panda 1–1 50.00%

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.