Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

poi?
XMNI
Omni
kukla / XMNI
yobrowhat?
poi? vs Kazuya 78–85 47.85%
poi? vs Hwoarang 49–74 39.84%
poi? vs Bryan 58–61 48.74%
poi? vs Jin 48–70 40.68%
poi? vs Reina 50–55 47.62%
poi? vs King 52–51 50.49%
poi? vs Paul 41–50 45.05%
poi? vs Yoshimitsu 37–44 45.68%
poi? vs Dragunov 38–40 48.72%
poi? vs Devil Jin 36–39 48.00%
poi? vs Heihachi 28–45 38.36%
poi? vs Steve 34–38 47.22%
poi? vs Asuka 44–28 61.11%
poi? vs Lidia 27–44 38.03%
poi? vs Feng 38–31 55.07%
poi? vs Lee 29–38 43.28%
poi? vs Law 31–34 47.69%
poi? vs Azucena 35–30 53.85%
poi? vs Nina 31–33 48.44%
poi? vs Lili 29–33 46.77%
poi? vs Jun 27–29 48.21%
poi? vs Lars 23–30 43.40%
poi? vs Xiaoyu 32–18 64.00%
poi? vs Leo 17–31 35.42%
poi? vs Jack-8 27–18 60.00%
poi? vs Victor 21–22 48.84%
poi? vs Leroy 25–17 59.52%
poi? vs Claudio 12–29 29.27%
poi? vs Eddy 19–17 52.78%
poi? vs Raven 15–19 44.12%
poi? vs Zafina 22–10 68.75%
poi? vs Alisa 17–9 65.38%
poi? vs Kuma 9–14 39.13%
poi? vs Shaheen 12–8 60.00%
poi? vs Clive 4–7 36.36%
poi? vs Panda 1–3 25.00%

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.