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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Shaunmac vs King 76–66 53.52%
Shaunmac vs Jin 84–54 60.87%
Shaunmac vs Kazuya 83–51 61.94%
Shaunmac vs Law 61–40 60.40%
Shaunmac vs Bryan 47–42 52.81%
Shaunmac vs Hwoarang 53–31 63.10%
Shaunmac vs Steve 52–29 64.20%
Shaunmac vs Dragunov 42–32 56.76%
Shaunmac vs Eddy 39–32 54.93%
Shaunmac vs Paul 40–30 57.14%
Shaunmac vs Reina 28–36 43.75%
Shaunmac vs Lee 36–25 59.02%
Shaunmac vs Lars 25–25 50.00%
Shaunmac vs Heihachi 31–19 62.00%
Shaunmac vs Yoshimitsu 25–24 51.02%
Shaunmac vs Azucena 16–28 36.36%
Shaunmac vs Lili 21–22 48.84%
Shaunmac vs Armor King 19–23 45.24%
Shaunmac vs Clive 11–30 26.83%
Shaunmac vs Jack-8 20–20 50.00%
Shaunmac vs Nina 23–15 60.53%
Shaunmac vs Leroy 21–17 55.26%
Shaunmac vs Feng 18–19 48.65%
Shaunmac vs Jun 18–18 50.00%
Shaunmac vs Devil Jin 23–12 65.71%
Shaunmac vs Xiaoyu 15–19 44.12%
Shaunmac vs Victor 16–14 53.33%
Shaunmac vs Leo 12–17 41.38%
Shaunmac vs Asuka 14–14 50.00%
Shaunmac vs Shaheen 15–13 53.57%
Shaunmac vs Claudio 12–14 46.15%
Shaunmac vs Fahkumram 14–11 56.00%
Shaunmac vs Lidia 10–14 41.67%
Shaunmac vs Raven 12–10 54.55%
Shaunmac vs Alisa 11–9 55.00%
Shaunmac vs Kuma 5–11 31.25%
Shaunmac vs Zafina 2–10 16.67%
Shaunmac vs Anna 3–9 25.00%
Shaunmac vs Miary Zo 2–4 33.33%
Shaunmac vs Panda 2–3 40.00%

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.