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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BOOSTER vs Bryan 66–78 45.83%
BOOSTER vs Kazuya 86–48 64.18%
BOOSTER vs Jin 64–67 48.85%
BOOSTER vs King 63–57 52.50%
BOOSTER vs Hwoarang 62–58 51.67%
BOOSTER vs Steve 48–43 52.75%
BOOSTER vs Yoshimitsu 34–53 39.08%
BOOSTER vs Paul 31–46 40.26%
BOOSTER vs Reina 35–40 46.67%
BOOSTER vs Dragunov 37–37 50.00%
BOOSTER vs Devil Jin 39–25 60.94%
BOOSTER vs Law 26–35 42.62%
BOOSTER vs Lars 30–26 53.57%
BOOSTER vs Jack-8 25–25 50.00%
BOOSTER vs Asuka 26–23 53.06%
BOOSTER vs Lee 27–21 56.25%
BOOSTER vs Lili 19–23 45.24%
BOOSTER vs Victor 23–19 54.76%
BOOSTER vs Jun 19–21 47.50%
BOOSTER vs Alisa 17–22 43.59%
BOOSTER vs Nina 22–17 56.41%
BOOSTER vs Claudio 15–23 39.47%
BOOSTER vs Azucena 18–20 47.37%
BOOSTER vs Eddy 12–22 35.29%
BOOSTER vs Feng 17–16 51.52%
BOOSTER vs Heihachi 22–10 68.75%
BOOSTER vs Xiaoyu 12–16 42.86%
BOOSTER vs Leo 19–8 70.37%
BOOSTER vs Leroy 9–16 36.00%
BOOSTER vs Fahkumram 11–13 45.83%
BOOSTER vs Zafina 13–8 61.90%
BOOSTER vs Raven 8–12 40.00%
BOOSTER vs Kuma 7–10 41.18%
BOOSTER vs Shaheen 9–6 60.00%
BOOSTER vs Lidia 4–5 44.44%
BOOSTER vs Clive 6–3 66.67%
BOOSTER vs Anna 5–2 71.43%
BOOSTER vs Panda 1–5 16.67%
BOOSTER vs Armor King 2–1 66.67%
BOOSTER vs Miary Zo 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.