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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rawen016 vs Kazuya 74–57 56.49%
Rawen016 vs Jin 73–57 56.15%
Rawen016 vs Bryan 57–63 47.50%
Rawen016 vs Reina 43–42 50.59%
Rawen016 vs Hwoarang 44–38 53.66%
Rawen016 vs Steve 47–33 58.75%
Rawen016 vs Lili 47–30 61.04%
Rawen016 vs King 36–36 50.00%
Rawen016 vs Devil Jin 36–31 53.73%
Rawen016 vs Heihachi 33–20 62.26%
Rawen016 vs Paul 25–26–1 49.02%
Rawen016 vs Yoshimitsu 24–28 46.15%
Rawen016 vs Dragunov 31–19 62.00%
Rawen016 vs Law 20–29 40.82%
Rawen016 vs Lee 25–24 51.02%
Rawen016 vs Clive 26–20 56.52%
Rawen016 vs Asuka 17–23 42.50%
Rawen016 vs Jun 20–16 55.56%
Rawen016 vs Leo 19–16 54.29%
Rawen016 vs Nina 19–16 54.29%
Rawen016 vs Alisa 14–20 41.18%
Rawen016 vs Lidia 21–12 63.64%
Rawen016 vs Feng 14–18 43.75%
Rawen016 vs Jack-8 19–12 61.29%
Rawen016 vs Kuma 13–17 43.33%
Rawen016 vs Azucena 13–17 43.33%
Rawen016 vs Eddy 16–14 53.33%
Rawen016 vs Lars 14–15 48.28%
Rawen016 vs Raven 13–15 46.43%
Rawen016 vs Armor King 15–13 53.57%
Rawen016 vs Leroy 14–13 51.85%
Rawen016 vs Claudio 12–11 52.17%
Rawen016 vs Xiaoyu 13–9 59.09%
Rawen016 vs Fahkumram 7–13 35.00%
Rawen016 vs Victor 10–7 58.82%
Rawen016 vs Zafina 5–7 41.67%
Rawen016 vs Shaheen 8–3 72.73%
Rawen016 vs Anna 3–7 30.00%
Rawen016 vs Miary Zo 6–3 66.67%
Rawen016 vs Panda 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.