Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Turquoise_0

Ratings

Turquoise_0 vs King 59–47 55.66%
Turquoise_0 vs Heihachi 55–42 56.70%
Turquoise_0 vs Kazuya 46–45 50.55%
Turquoise_0 vs Bryan 43–37 53.75%
Turquoise_0 vs Reina 47–33 58.75%
Turquoise_0 vs Jin 36–43 45.57%
Turquoise_0 vs Dragunov 43–36 54.43%
Turquoise_0 vs Lili 32–30 51.61%
Turquoise_0 vs Lidia 35–23 60.34%
Turquoise_0 vs Hwoarang 26–27 49.06%
Turquoise_0 vs Steve 26–21 55.32%
Turquoise_0 vs Azucena 24–20 54.55%
Turquoise_0 vs Law 32–11 74.42%
Turquoise_0 vs Devil Jin 23–17 57.50%
Turquoise_0 vs Leo 20–17 54.05%
Turquoise_0 vs Yoshimitsu 22–14 61.11%
Turquoise_0 vs Lee 12–19 38.71%
Turquoise_0 vs Paul 17–13 56.67%
Turquoise_0 vs Asuka 12–14 46.15%
Turquoise_0 vs Feng 19–7 73.08%
Turquoise_0 vs Nina 7–16 30.43%
Turquoise_0 vs Jun 14–8 63.64%
Turquoise_0 vs Jack-8 15–5 75.00%
Turquoise_0 vs Xiaoyu 15–4 78.95%
Turquoise_0 vs Lars 14–5 73.68%
Turquoise_0 vs Victor 12–6 66.67%
Turquoise_0 vs Raven 5–12 29.41%
Turquoise_0 vs Alisa 7–9 43.75%
Turquoise_0 vs Anna 7–8 46.67%
Turquoise_0 vs Shaheen 8–5 61.54%
Turquoise_0 vs Eddy 5–8 38.46%
Turquoise_0 vs Clive 4–9 30.77%
Turquoise_0 vs Claudio 5–7 41.67%
Turquoise_0 vs Zafina 7–4 63.64%
Turquoise_0 vs Leroy 6–3 66.67%
Turquoise_0 vs Panda 5–2 71.43%
Turquoise_0 vs Kuma 1–0 100.00%

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.