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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

1q2w3e4r! vs King 38–76 33.33%
1q2w3e4r! vs Kazuya 53–57 48.18%
1q2w3e4r! vs Dragunov 35–60 36.84%
1q2w3e4r! vs Reina 45–42 51.72%
1q2w3e4r! vs Hwoarang 32–53 37.65%
1q2w3e4r! vs Jin 24–60 28.57%
1q2w3e4r! vs Paul 32–50 39.02%
1q2w3e4r! vs Bryan 31–51 37.80%
1q2w3e4r! vs Lili 25–35 41.67%
1q2w3e4r! vs Steve 20–39 33.90%
1q2w3e4r! vs Victor 30–28 51.72%
1q2w3e4r! vs Law 30–25 54.55%
1q2w3e4r! vs Yoshimitsu 23–30 43.40%
1q2w3e4r! vs Jun 23–21 52.27%
1q2w3e4r! vs Clive 12–31 27.91%
1q2w3e4r! vs Xiaoyu 20–22 47.62%
1q2w3e4r! vs Devil Jin 15–26 36.59%
1q2w3e4r! vs Asuka 17–23 42.50%
1q2w3e4r! vs Heihachi 18–18 50.00%
1q2w3e4r! vs Claudio 9–25 26.47%
1q2w3e4r! vs Azucena 13–21 38.24%
1q2w3e4r! vs Feng 12–21 36.36%
1q2w3e4r! vs Alisa 12–21 36.36%
1q2w3e4r! vs Eddy 13–20 39.39%
1q2w3e4r! vs Jack-8 7–24 22.58%
1q2w3e4r! vs Nina 12–16 42.86%
1q2w3e4r! vs Lidia 12–15 44.44%
1q2w3e4r! vs Lars 7–18 28.00%
1q2w3e4r! vs Leo 10–14 41.67%
1q2w3e4r! vs Anna 12–11 52.17%
1q2w3e4r! vs Lee 13–8 61.90%
1q2w3e4r! vs Shaheen 9–10 47.37%
1q2w3e4r! vs Leroy 1–18 5.26%
1q2w3e4r! vs Kuma 5–13 27.78%
1q2w3e4r! vs Fahkumram 4–5 44.44%
1q2w3e4r! vs Armor King 5–1 83.33%
1q2w3e4r! vs Zafina 2–0 100.00%
1q2w3e4r! vs Miary Zo 2–0 100.00%
1q2w3e4r! vs Panda 0–1 0.00%

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.