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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

CloudPenguin vs Reina 21–15 58.33%
CloudPenguin vs Law 16–11 59.26%
CloudPenguin vs Kazuya 14–9 60.87%
CloudPenguin vs Asuka 10–11 47.62%
CloudPenguin vs King 12–8 60.00%
CloudPenguin vs Azucena 12–7 63.16%
CloudPenguin vs Steve 11–7 61.11%
CloudPenguin vs Jin 9–8 52.94%
CloudPenguin vs Yoshimitsu 10–3 76.92%
CloudPenguin vs Dragunov 6–7 46.15%
CloudPenguin vs Eddy 8–5 61.54%
CloudPenguin vs Bryan 7–5 58.33%
CloudPenguin vs Jun 6–6 50.00%
CloudPenguin vs Hwoarang 8–3 72.73%
CloudPenguin vs Nina 5–6 45.45%
CloudPenguin vs Leo 4–6 40.00%
CloudPenguin vs Lidia 6–4 60.00%
CloudPenguin vs Miary Zo 6–4 60.00%
CloudPenguin vs Jack-8 7–2 77.78%
CloudPenguin vs Lars 4–5 44.44%
CloudPenguin vs Victor 3–5 37.50%
CloudPenguin vs Raven 3–5 37.50%
CloudPenguin vs Claudio 3–4 42.86%
CloudPenguin vs Paul 3–3 50.00%
CloudPenguin vs Lili 3–3 50.00%
CloudPenguin vs Alisa 4–1 80.00%
CloudPenguin vs Leroy 2–3 40.00%
CloudPenguin vs Heihachi 3–2 60.00%
CloudPenguin vs Armor King 3–2 60.00%
CloudPenguin vs Lee 1–3 25.00%
CloudPenguin vs Kuma 2–2 50.00%
CloudPenguin vs Xiaoyu 3–0 100.00%
CloudPenguin vs Fahkumram 1–1 50.00%
CloudPenguin vs Devil Jin 0–1 0.00%
CloudPenguin vs Shaheen 0–1 0.00%
CloudPenguin vs Panda 1–0 100.00%
CloudPenguin vs Anna 0–1 0.00%

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.