Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
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Ratings

Tweet vs Armor King 66–72 47.83%
Tweet vs Jin 43–58 42.57%
Tweet vs Kazuya 44–41 51.76%
Tweet vs King 34–44 43.59%
Tweet vs Miary Zo 38–38 50.00%
Tweet vs Fahkumram 42–30 58.33%
Tweet vs Reina 37–33 52.86%
Tweet vs Law 24–41 36.92%
Tweet vs Steve 27–35 43.55%
Tweet vs Lee 38–23 62.30%
Tweet vs Paul 29–24 54.72%
Tweet vs Jun 29–20 59.18%
Tweet vs Hwoarang 24–24 50.00%
Tweet vs Asuka 28–20 58.33%
Tweet vs Yoshimitsu 22–25 46.81%
Tweet vs Bryan 19–27 41.30%
Tweet vs Dragunov 27–16 62.79%
Tweet vs Azucena 18–24 42.86%
Tweet vs Lili 25–16 60.98%
Tweet vs Eddy 22–19 53.66%
Tweet vs Heihachi 23–17–1 57.50%
Tweet vs Lars 17–21 44.74%
Tweet vs Devil Jin 17–13 56.67%
Tweet vs Victor 22–8 73.33%
Tweet vs Xiaoyu 21–7 75.00%
Tweet vs Jack-8 12–13 48.00%
Tweet vs Leo 12–8 60.00%
Tweet vs Nina 11–9 55.00%
Tweet vs Leroy 13–6 68.42%
Tweet vs Alisa 8–10 44.44%
Tweet vs Claudio 9–9 50.00%
Tweet vs Clive 7–11 38.89%
Tweet vs Feng 10–7 58.82%
Tweet vs Lidia 12–5 70.59%
Tweet vs Anna 3–14 17.65%
Tweet vs Raven 3–13 18.75%
Tweet vs Kuma 7–8 46.67%
Tweet vs Zafina 6–8 42.86%
Tweet vs Panda 3–2 60.00%
Tweet vs Shaheen 2–0 100.00%

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.