Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

darnyous vs Bryan 85–76 52.80%
darnyous vs King 78–45 63.41%
darnyous vs Jin 63–59 51.64%
darnyous vs Kazuya 58–53 52.25%
darnyous vs Steve 61–44 58.10%
darnyous vs Lili 47–44 51.65%
darnyous vs Devil Jin 40–39 50.63%
darnyous vs Lee 46–33 58.23%
darnyous vs Heihachi 40–35 53.33%
darnyous vs Jack-8 36–37 49.32%
darnyous vs Hwoarang 38–33 53.52%
darnyous vs Reina 41–29 58.57%
darnyous vs Paul 35–33 51.47%
darnyous vs Yoshimitsu 38–30 55.88%
darnyous vs Xiaoyu 29–39 42.65%
darnyous vs Dragunov 37–30 55.22%
darnyous vs Law 34–27 55.74%
darnyous vs Armor King 39–20 66.10%
darnyous vs Lars 36–16 69.23%
darnyous vs Asuka 26–23 53.06%
darnyous vs Jun 22–27 44.90%
darnyous vs Alisa 21–27 43.75%
darnyous vs Leo 23–16 58.97%
darnyous vs Feng 19–16 54.29%
darnyous vs Azucena 19–16 54.29%
darnyous vs Eddy 20–15 57.14%
darnyous vs Shaheen 12–18 40.00%
darnyous vs Fahkumram 15–15 50.00%
darnyous vs Nina 10–18 35.71%
darnyous vs Leroy 16–11 59.26%
darnyous vs Claudio 10–16 38.46%
darnyous vs Victor 13–13 50.00%
darnyous vs Clive 9–17 34.62%
darnyous vs Raven 8–17 32.00%
darnyous vs Lidia 5–10 33.33%
darnyous vs Zafina 6–8 42.86%
darnyous vs Kuma 6–6 50.00%
darnyous vs Anna 5–5 50.00%
darnyous vs Miary Zo 2–3 40.00%
darnyous vs Panda 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.