Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Sherlock vs Heihachi 99–100 49.75%
Sherlock vs King 115–78 59.59%
Sherlock vs Bryan 102–91 52.85%
Sherlock vs Hwoarang 101–80 55.80%
Sherlock vs Kazuya 99–75 56.90%
Sherlock vs Dragunov 98–66 59.76%
Sherlock vs Jin 96–62 60.76%
Sherlock vs Asuka 71–69 50.71%
Sherlock vs Paul 71–66 51.82%
Sherlock vs Reina 86–50 63.24%
Sherlock vs Law 71–57 55.47%
Sherlock vs Clive 73–44 62.39%
Sherlock vs Steve 56–56 50.00%
Sherlock vs Feng 52–52 50.00%
Sherlock vs Lars 52–52 50.00%
Sherlock vs Lili 58–43 57.43%
Sherlock vs Yoshimitsu 59–38 60.82%
Sherlock vs Jack-8 51–37 57.95%
Sherlock vs Victor 48–38 55.81%
Sherlock vs Leo 46–38 54.76%
Sherlock vs Devil Jin 29–48 37.66%
Sherlock vs Lee 47–30 61.04%
Sherlock vs Azucena 41–36 53.25%
Sherlock vs Claudio 37–33 52.86%
Sherlock vs Jun 41–28 59.42%
Sherlock vs Xiaoyu 39–29 57.35%
Sherlock vs Nina 43–23 65.15%
Sherlock vs Raven 43–22 66.15%
Sherlock vs Eddy 39–26 60.00%
Sherlock vs Anna 33–22 60.00%
Sherlock vs Leroy 30–24 55.56%
Sherlock vs Lidia 30–23 56.60%
Sherlock vs Alisa 19–30 38.78%
Sherlock vs Kuma 26–19 57.78%
Sherlock vs Zafina 20–18 52.63%
Sherlock vs Shaheen 14–22 38.89%
Sherlock vs Panda 21–11 65.62%
Sherlock vs Miary Zo 9–9 50.00%
Sherlock vs Fahkumram 7–5 58.33%
Sherlock vs Armor King 7–5 58.33%

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.