Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nightwolf vs King 71–29 71.00%
nightwolf vs Kazuya 65–33 66.33%
nightwolf vs Jin 50–35 58.82%
nightwolf vs Hwoarang 48–30 61.54%
nightwolf vs Eddy 43–34 55.84%
nightwolf vs Dragunov 52–20 72.22%
nightwolf vs Lili 33–29 53.23%
nightwolf vs Paul 48–9 84.21%
nightwolf vs Victor 33–23 58.93%
nightwolf vs Jun 32–20 61.54%
nightwolf vs Reina 22–27 44.90%
nightwolf vs Steve 36–12 75.00%
nightwolf vs Devil Jin 26–18 59.09%
nightwolf vs Law 23–17 57.50%
nightwolf vs Lee 19–21 47.50%
nightwolf vs Bryan 32–7 82.05%
nightwolf vs Raven 19–20 48.72%
nightwolf vs Yoshimitsu 18–19 48.65%
nightwolf vs Feng 23–12 65.71%
nightwolf vs Leo 20–14 58.82%
nightwolf vs Asuka 15–18 45.45%
nightwolf vs Armor King 23–10 69.70%
nightwolf vs Xiaoyu 12–17 41.38%
nightwolf vs Azucena 16–12 57.14%
nightwolf vs Claudio 13–13 50.00%
nightwolf vs Jack-8 17–8 68.00%
nightwolf vs Nina 20–5 80.00%
nightwolf vs Leroy 12–13 48.00%
nightwolf vs Zafina 14–8 63.64%
nightwolf vs Alisa 9–9 50.00%
nightwolf vs Shaheen 9–9 50.00%
nightwolf vs Fahkumram 10–6 62.50%
nightwolf vs Lars 10–4 71.43%
nightwolf vs Kuma 6–8 42.86%
nightwolf vs Miary Zo 8–3 72.73%
nightwolf vs Clive 2–4 33.33%
nightwolf vs Panda 4–1 80.00%
nightwolf vs Heihachi 3–2 60.00%
nightwolf vs Anna 2–3 40.00%

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.