Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lonely vs King 61–10 85.92%
lonely vs Bryan 41–18 69.49%
lonely vs Jin 41–9 82.00%
lonely vs Hwoarang 36–12 75.00%
lonely vs Steve 36–7 83.72%
lonely vs Kazuya 33–9 78.57%
lonely vs Devil Jin 32–10 76.19%
lonely vs Heihachi 36–3 92.31%
lonely vs Dragunov 32–6 84.21%
lonely vs Law 23–14 62.16%
lonely vs Lidia 23–12 65.71%
lonely vs Eddy 23–10 69.70%
lonely vs Lili 29–3 90.62%
lonely vs Xiaoyu 17–10 62.96%
lonely vs Lars 16–9 64.00%
lonely vs Nina 20–5 80.00%
lonely vs Leroy 19–4 82.61%
lonely vs Yoshimitsu 14–8 63.64%
lonely vs Lee 20–2 90.91%
lonely vs Jun 15–6 71.43%
lonely vs Reina 18–3 85.71%
lonely vs Clive 12–7 63.16%
lonely vs Claudio 10–8 55.56%
lonely vs Paul 11–5 68.75%
lonely vs Asuka 15–1 93.75%
lonely vs Feng 14–1 93.33%
lonely vs Leo 13–2 86.67%
lonely vs Alisa 11–4 73.33%
lonely vs Zafina 10–5 66.67%
lonely vs Victor 12–3 80.00%
lonely vs Anna 9–6 60.00%
lonely vs Azucena 13–1 92.86%
lonely vs Raven 10–2 83.33%
lonely vs Jack-8 7–4 63.64%
lonely vs Kuma 7–3 70.00%
lonely vs Fahkumram 6–1 85.71%
lonely vs Shaheen 4–0 100.00%
lonely vs Armor King 4–0 100.00%
lonely vs Miary Zo 0–2 0.00%
lonely vs Panda 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.