Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Whitebeard
TranquilBreath
Whitebeard vs King 192–158 54.86%
Whitebeard vs Kazuya 208–138 60.12%
Whitebeard vs Jin 184–129 58.79%
Whitebeard vs Dragunov 154–120 56.20%
Whitebeard vs Hwoarang 123–145 45.90%
Whitebeard vs Bryan 138–103 57.26%
Whitebeard vs Lee 124–100 55.36%
Whitebeard vs Eddy 103–87 54.21%
Whitebeard vs Yoshimitsu 91–94 49.19%
Whitebeard vs Lars 106–79 57.30%
Whitebeard vs Reina 125–56 69.06%
Whitebeard vs Paul 86–93 48.04%
Whitebeard vs Law 97–71 57.74%
Whitebeard vs Devil Jin 89–77 53.61%
Whitebeard vs Feng 81–74–1 52.26%
Whitebeard vs Lili 86–64 57.33%
Whitebeard vs Nina 71–64 52.59%
Whitebeard vs Steve 85–45 65.38%
Whitebeard vs Alisa 76–53 58.91%
Whitebeard vs Victor 63–62 50.40%
Whitebeard vs Jack-8 63–51 55.26%
Whitebeard vs Heihachi 65–48 57.52%
Whitebeard vs Raven 53–54 49.53%
Whitebeard vs Asuka 49–54 47.57%
Whitebeard vs Azucena 41–55 42.71%
Whitebeard vs Shaheen 43–45 48.86%
Whitebeard vs Claudio 37–48 43.53%
Whitebeard vs Kuma 44–35 55.70%
Whitebeard vs Jun 45–34 56.96%
Whitebeard vs Leo 34–32 51.52%
Whitebeard vs Leroy 30–29 50.85%
Whitebeard vs Zafina 26–30 46.43%
Whitebeard vs Xiaoyu 23–16 58.97%
Whitebeard vs Clive 9–15 37.50%
Whitebeard vs Lidia 16–6 72.73%
Whitebeard vs Panda 6–4 60.00%

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.