Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

inout50 vs Bryan 99–75 56.90%
inout50 vs Kazuya 110–41 72.85%
inout50 vs Dragunov 80–59 57.55%
inout50 vs Jin 87–39 69.05%
inout50 vs Reina 73–32 69.52%
inout50 vs Victor 59–39 60.20%
inout50 vs Paul 63–28 69.23%
inout50 vs Devil Jin 50–41 54.95%
inout50 vs Hwoarang 55–33 62.50%
inout50 vs Lili 46–33 58.23%
inout50 vs Lars 39–35–1 52.70%
inout50 vs Law 53–21 71.62%
inout50 vs Steve 49–24 67.12%
inout50 vs Asuka 44–24 64.71%
inout50 vs Alisa 46–21 68.66%
inout50 vs Leroy 49–17 74.24%
inout50 vs King 44–20 68.75%
inout50 vs Feng 39–25 60.94%
inout50 vs Jun 35–26 57.38%
inout50 vs Azucena 39–20 66.10%
inout50 vs Jack-8 38–16 70.37%
inout50 vs Lidia 34–18 65.38%
inout50 vs Eddy 24–27 47.06%
inout50 vs Claudio 39–11 78.00%
inout50 vs Leo 22–27 44.90%
inout50 vs Heihachi 26–23 53.06%
inout50 vs Yoshimitsu 31–17 64.58%
inout50 vs Kuma 30–14 68.18%
inout50 vs Raven 25–19 56.82%
inout50 vs Xiaoyu 29–14 67.44%
inout50 vs Nina 19–24 44.19%
inout50 vs Shaheen 24–16 60.00%
inout50 vs Zafina 29–9 76.32%
inout50 vs Lee 25–10 71.43%
inout50 vs Panda 12–9 57.14%
inout50 vs Anna 14–1 93.33%
inout50 vs Clive 11–2 84.62%
inout50 vs Fahkumram 9–3 75.00%
inout50 vs Armor King 4–0 100.00%

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.