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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

spammer vs King 72–22 76.60%
spammer vs Jin 48–30 61.54%
spammer vs Kazuya 34–27 55.74%
spammer vs Steve 47–13 78.33%
spammer vs Hwoarang 37–12 75.51%
spammer vs Bryan 28–21 57.14%
spammer vs Heihachi 27–17 61.36%
spammer vs Law 28–13 68.29%
spammer vs Reina 20–20 50.00%
spammer vs Dragunov 27–10 72.97%
spammer vs Fahkumram 25–11 69.44%
spammer vs Azucena 25–10 71.43%
spammer vs Lili 28–6 82.35%
spammer vs Paul 23–10 69.70%
spammer vs Xiaoyu 18–10 64.29%
spammer vs Lee 13–14 48.15%
spammer vs Lars 17–8 68.00%
spammer vs Leo 16–8 66.67%
spammer vs Nina 17–7 70.83%
spammer vs Eddy 16–8 66.67%
spammer vs Lidia 16–8 66.67%
spammer vs Yoshimitsu 14–9 60.87%
spammer vs Victor 15–8 65.22%
spammer vs Feng 17–3 85.00%
spammer vs Leroy 18–2 90.00%
spammer vs Anna 12–8 60.00%
spammer vs Asuka 13–6 68.42%
spammer vs Jun 10–8 55.56%
spammer vs Jack-8 13–4 76.47%
spammer vs Devil Jin 11–5 68.75%
spammer vs Alisa 12–3 80.00%
spammer vs Raven 8–6 57.14%
spammer vs Kuma 8–5 61.54%
spammer vs Armor King 9–4 69.23%
spammer vs Claudio 8–4 66.67%
spammer vs Shaheen 7–4 63.64%
spammer vs Panda 3–6 33.33%
spammer vs Zafina 7–2 77.78%
spammer vs Clive 4–3 57.14%
spammer vs Miary Zo 3–4 42.86%

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.