Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

markedout vs King 22–30 42.31%
markedout vs Heihachi 20–25 44.44%
markedout vs Reina 19–22 46.34%
markedout vs Kazuya 21–17 55.26%
markedout vs Jin 21–16 56.76%
markedout vs Law 19–12 61.29%
markedout vs Bryan 20–10 66.67%
markedout vs Lee 14–14 50.00%
markedout vs Hwoarang 15–12 55.56%
markedout vs Dragunov 17–10 62.96%
markedout vs Lili 12–13 48.00%
markedout vs Jun 6–17 26.09%
markedout vs Azucena 12–11 52.17%
markedout vs Xiaoyu 12–10 54.55%
markedout vs Yoshimitsu 7–14 33.33%
markedout vs Asuka 10–6 62.50%
markedout vs Lars 11–5 68.75%
markedout vs Alisa 9–7 56.25%
markedout vs Eddy 8–8 50.00%
markedout vs Lidia 10–6 62.50%
markedout vs Jack-8 5–10 33.33%
markedout vs Feng 8–7 53.33%
markedout vs Zafina 7–8 46.67%
markedout vs Steve 6–7 46.15%
markedout vs Kuma 6–7 46.15%
markedout vs Leroy 7–6 53.85%
markedout vs Leo 4–8 33.33%
markedout vs Devil Jin 3–8 27.27%
markedout vs Raven 6–5 54.55%
markedout vs Paul 5–4 55.56%
markedout vs Nina 4–5 44.44%
markedout vs Clive 4–5 44.44%
markedout vs Claudio 3–4 42.86%
markedout vs Victor 3–4 42.86%
markedout vs Shaheen 3–3 50.00%
markedout vs Fahkumram 2–2 50.00%
markedout vs Miary Zo 2–2 50.00%
markedout vs Panda 0–3 0.00%
markedout vs Anna 0–2 0.00%
markedout vs Armor King 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.