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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Bladetha1 vs Kazuya 98–84 53.85%
Bladetha1 vs King 83–69 54.61%
Bladetha1 vs Jin 53–73 42.06%
Bladetha1 vs Bryan 64–62 50.79%
Bladetha1 vs Reina 62–57 52.10%
Bladetha1 vs Steve 58–52 52.73%
Bladetha1 vs Law 44–61 41.90%
Bladetha1 vs Hwoarang 39–56 41.05%
Bladetha1 vs Dragunov 44–35 55.70%
Bladetha1 vs Heihachi 40–39 50.63%
Bladetha1 vs Lee 38–39 49.35%
Bladetha1 vs Lidia 33–42 44.00%
Bladetha1 vs Yoshimitsu 41–32 56.16%
Bladetha1 vs Lili 28–44 38.89%
Bladetha1 vs Azucena 34–33 50.75%
Bladetha1 vs Asuka 36–27 57.14%
Bladetha1 vs Paul 33–27 55.00%
Bladetha1 vs Leo 27–31 46.55%
Bladetha1 vs Jun 32–26 55.17%
Bladetha1 vs Devil Jin 25–29 46.30%
Bladetha1 vs Eddy 28–26 51.85%
Bladetha1 vs Xiaoyu 22–30 42.31%
Bladetha1 vs Lars 26–25 50.98%
Bladetha1 vs Nina 28–23 54.90%
Bladetha1 vs Raven 21–27 43.75%
Bladetha1 vs Feng 18–25 41.86%
Bladetha1 vs Victor 18–22 45.00%
Bladetha1 vs Alisa 15–22 40.54%
Bladetha1 vs Jack-8 23–13 63.89%
Bladetha1 vs Leroy 16–12 57.14%
Bladetha1 vs Shaheen 11–15 42.31%
Bladetha1 vs Zafina 17–7 70.83%
Bladetha1 vs Claudio 9–10 47.37%
Bladetha1 vs Kuma 3–13 18.75%
Bladetha1 vs Anna 9–7 56.25%
Bladetha1 vs Panda 6–2 75.00%
Bladetha1 vs Clive 5–2 71.43%
Bladetha1 vs Fahkumram 3–2 60.00%
Bladetha1 vs Armor King 2–1 66.67%

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.