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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
\(^^,)/»„(×_¤)„

Ratings

\(^^,)/»„(×_¤)„ vs King 82–75 52.23%
\(^^,)/»„(×_¤)„ vs Kazuya 66–68 49.25%
\(^^,)/»„(×_¤)„ vs Jin 59–67 46.83%
\(^^,)/»„(×_¤)„ vs Law 37–64 36.63%
\(^^,)/»„(×_¤)„ vs Steve 45–40 52.94%
\(^^,)/»„(×_¤)„ vs Bryan 42–36 53.85%
\(^^,)/»„(×_¤)„ vs Reina 28–46 37.84%
\(^^,)/»„(×_¤)„ vs Heihachi 30–43 41.10%
\(^^,)/»„(×_¤)„ vs Hwoarang 40–23 63.49%
\(^^,)/»„(×_¤)„ vs Dragunov 25–34 42.37%
\(^^,)/»„(×_¤)„ vs Azucena 30–28 51.72%
\(^^,)/»„(×_¤)„ vs Yoshimitsu 20–34 37.04%
\(^^,)/»„(×_¤)„ vs Lili 22–30 42.31%
\(^^,)/»„(×_¤)„ vs Jun 33–19 63.46%
\(^^,)/»„(×_¤)„ vs Lee 19–30 38.78%
\(^^,)/»„(×_¤)„ vs Lars 22–26 45.83%
\(^^,)/»„(×_¤)„ vs Eddy 18–28 39.13%
\(^^,)/»„(×_¤)„ vs Xiaoyu 24–20 54.55%
\(^^,)/»„(×_¤)„ vs Feng 17–24 41.46%
\(^^,)/»„(×_¤)„ vs Victor 21–20 51.22%
\(^^,)/»„(×_¤)„ vs Lidia 15–25 37.50%
\(^^,)/»„(×_¤)„ vs Asuka 20–19 51.28%
\(^^,)/»„(×_¤)„ vs Nina 21–16 56.76%
\(^^,)/»„(×_¤)„ vs Armor King 14–21 40.00%
\(^^,)/»„(×_¤)„ vs Paul 11–20 35.48%
\(^^,)/»„(×_¤)„ vs Claudio 10–20 33.33%
\(^^,)/»„(×_¤)„ vs Clive 8–21 27.59%
\(^^,)/»„(×_¤)„ vs Leo 9–18 33.33%
\(^^,)/»„(×_¤)„ vs Alisa 10–17 37.04%
\(^^,)/»„(×_¤)„ vs Leroy 11–14 44.00%
\(^^,)/»„(×_¤)„ vs Raven 13–12 52.00%
\(^^,)/»„(×_¤)„ vs Devil Jin 17–7 70.83%
\(^^,)/»„(×_¤)„ vs Jack-8 9–14 39.13%
\(^^,)/»„(×_¤)„ vs Fahkumram 9–13 40.91%
\(^^,)/»„(×_¤)„ vs Anna 8–10 44.44%
\(^^,)/»„(×_¤)„ vs Shaheen 9–6 60.00%
\(^^,)/»„(×_¤)„ vs Miary Zo 5–10 33.33%
\(^^,)/»„(×_¤)„ vs Zafina 4–7 36.36%
\(^^,)/»„(×_¤)„ vs Kuma 2–6 25.00%
\(^^,)/»„(×_¤)„ vs Panda 2–4 33.33%

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.