Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sirLarry vs Jin 128–87 59.53%
sirLarry vs Kazuya 97–64 60.25%
sirLarry vs Dragunov 67–64 51.15%
sirLarry vs Bryan 58–50 53.70%
sirLarry vs Paul 56–49 53.33%
sirLarry vs Reina 77–21 78.57%
sirLarry vs Law 45–52 46.39%
sirLarry vs Steve 58–37 61.05%
sirLarry vs King 48–43 52.75%
sirLarry vs Yoshimitsu 50–35 58.82%
sirLarry vs Asuka 52–30 63.41%
sirLarry vs Lili 55–26 67.90%
sirLarry vs Hwoarang 45–35 56.25%
sirLarry vs Azucena 39–39 50.00%
sirLarry vs Jun 50–26 65.79%
sirLarry vs Victor 36–30 54.55%
sirLarry vs Devil Jin 31–34 47.69%
sirLarry vs Xiaoyu 31–30 50.82%
sirLarry vs Claudio 31–25 55.36%
sirLarry vs Lars 43–12 78.18%
sirLarry vs Alisa 37–16 69.81%
sirLarry vs Nina 29–20 59.18%
sirLarry vs Lidia 29–20 59.18%
sirLarry vs Heihachi 33–16 67.35%
sirLarry vs Lee 24–20 54.55%
sirLarry vs Leroy 23–21 52.27%
sirLarry vs Feng 29–13 69.05%
sirLarry vs Armor King 21–20 51.22%
sirLarry vs Eddy 20–16 55.56%
sirLarry vs Leo 13–17 43.33%
sirLarry vs Fahkumram 16–14 53.33%
sirLarry vs Zafina 13–9 59.09%
sirLarry vs Jack-8 10–11 47.62%
sirLarry vs Raven 11–10 52.38%
sirLarry vs Shaheen 2–17 10.53%
sirLarry vs Kuma 10–9 52.63%
sirLarry vs Miary Zo 6–10 37.50%
sirLarry vs Clive 8–5 61.54%
sirLarry vs Anna 5–6 45.45%
sirLarry vs Panda 2–4 33.33%

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.