Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
のぶたか參式 しめ鯖

Ratings

のぶたか參式 しめ鯖 vs Asuka 42–26 61.76%
のぶたか參式 しめ鯖 vs Paul 50–10 83.33%
のぶたか參式 しめ鯖 vs Bryan 40–20 66.67%
のぶたか參式 しめ鯖 vs Azucena 32–28 53.33%
のぶたか參式 しめ鯖 vs Dragunov 29–21 58.00%
のぶたか參式 しめ鯖 vs Hwoarang 40–9 81.63%
のぶたか參式 しめ鯖 vs Lili 35–14 71.43%
のぶたか參式 しめ鯖 vs Reina 38–11 77.55%
のぶたか參式 しめ鯖 vs Claudio 29–11 72.50%
のぶたか參式 しめ鯖 vs Jun 26–14 65.00%
のぶたか參式 しめ鯖 vs King 31–7 81.58%
のぶたか參式 しめ鯖 vs Law 21–16 56.76%
のぶたか參式 しめ鯖 vs Jin 24–13 64.86%
のぶたか參式 しめ鯖 vs Eddy 18–15 54.55%
のぶたか參式 しめ鯖 vs Kazuya 23–8 74.19%
のぶたか參式 しめ鯖 vs Alisa 15–16 48.39%
のぶたか參式 しめ鯖 vs Victor 20–11 64.52%
のぶたか參式 しめ鯖 vs Lars 20–10 66.67%
のぶたか參式 しめ鯖 vs Steve 13–16 44.83%
のぶたか參式 しめ鯖 vs Feng 24–5 82.76%
のぶたか參式 しめ鯖 vs Lee 20–8 71.43%
のぶたか參式 しめ鯖 vs Devil Jin 18–8 69.23%
のぶたか參式 しめ鯖 vs Heihachi 19–7 73.08%
のぶたか參式 しめ鯖 vs Xiaoyu 15–9 62.50%
のぶたか參式 しめ鯖 vs Jack-8 14–10 58.33%
のぶたか參式 しめ鯖 vs Leroy 15–8 65.22%
のぶたか參式 しめ鯖 vs Clive 12–11 52.17%
のぶたか參式 しめ鯖 vs Shaheen 13–9 59.09%
のぶたか參式 しめ鯖 vs Nina 13–9 59.09%
のぶたか參式 しめ鯖 vs Yoshimitsu 15–5 75.00%
のぶたか參式 しめ鯖 vs Raven 13–5 72.22%
のぶたか參式 しめ鯖 vs Lidia 8–10 44.44%
のぶたか參式 しめ鯖 vs Panda 13–4 76.47%
のぶたか參式 しめ鯖 vs Zafina 8–6 57.14%
のぶたか參式 しめ鯖 vs Leo 10–3 76.92%
のぶたか參式 しめ鯖 vs Kuma 5–5 50.00%
のぶたか參式 しめ鯖 vs Fahkumram 4–1 80.00%
のぶたか參式 しめ鯖 vs Anna 3–0 100.00%

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.