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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

unknownL vs Jin 76–65 53.90%
unknownL vs King 66–53 55.46%
unknownL vs Kazuya 61–56 52.14%
unknownL vs Bryan 56–46 54.90%
unknownL vs Hwoarang 50–48 51.02%
unknownL vs Reina 55–43 56.12%
unknownL vs Heihachi 55–39 58.51%
unknownL vs Yoshimitsu 57–35 61.96%
unknownL vs Paul 45–38 54.22%
unknownL vs Lee 41–36 53.25%
unknownL vs Steve 41–34 54.67%
unknownL vs Lili 38–37 50.67%
unknownL vs Law 43–30 58.90%
unknownL vs Eddy 47–26 64.38%
unknownL vs Lars 38–27 58.46%
unknownL vs Devil Jin 35–28 55.56%
unknownL vs Victor 29–25 53.70%
unknownL vs Xiaoyu 22–30 42.31%
unknownL vs Azucena 26–23 53.06%
unknownL vs Asuka 21–27 43.75%
unknownL vs Feng 22–26 45.83%
unknownL vs Leo 21–26 44.68%
unknownL vs Clive 20–26 43.48%
unknownL vs Dragunov 25–20 55.56%
unknownL vs Jun 28–16 63.64%
unknownL vs Anna 18–21 46.15%
unknownL vs Zafina 20–18 52.63%
unknownL vs Alisa 19–18 51.35%
unknownL vs Claudio 13–20 39.39%
unknownL vs Nina 15–18 45.45%
unknownL vs Lidia 16–17 48.48%
unknownL vs Jack-8 15–15 50.00%
unknownL vs Kuma 12–14 46.15%
unknownL vs Leroy 15–10 60.00%
unknownL vs Raven 11–9 55.00%
unknownL vs Fahkumram 13–7 65.00%
unknownL vs Armor King 10–8 55.56%
unknownL vs Panda 9–5 64.29%
unknownL vs Shaheen 5–8 38.46%
unknownL vs Miary Zo 3–6 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.