Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
camelot
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Ratings

camelot vs Jin 9–10 47.37%
camelot vs Law 8–4 66.67%
camelot vs Jun 5–4 55.56%
camelot vs Steve 3–5 37.50%
camelot vs Dragunov 1–5 16.67%
camelot vs Heihachi 6–0 100.00%
camelot vs Clive 3–3 50.00%
camelot vs Hwoarang 4–1 80.00%
camelot vs Leo 3–2 60.00%
camelot vs King 1–3 25.00%
camelot vs Kazuya 3–1 75.00%
camelot vs Asuka 3–1 75.00%
camelot vs Reina 2–2 50.00%
camelot vs Victor 2–2 50.00%
camelot vs Lidia 1–3 25.00%
camelot vs Xiaoyu 1–2 33.33%
camelot vs Bryan 0–3 0.00%
camelot vs Jack-8 2–1 66.67%
camelot vs Lili 2–1 66.67%
camelot vs Lee 1–2 33.33%
camelot vs Azucena 3–0 100.00%
camelot vs Eddy 2–1 66.67%
camelot vs Yoshimitsu 1–1 50.00%
camelot vs Devil Jin 2–0 100.00%
camelot vs Lars 1–1 50.00%
camelot vs Kuma 2–0 100.00%
camelot vs Raven 1–1 50.00%
camelot vs Fahkumram 2–0 100.00%
camelot vs Nina 1–0 100.00%
camelot vs Panda 0–1 0.00%
camelot vs Leroy 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.