Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
LangLang

Ratings

LangLang vs King 65–66 49.62%
LangLang vs Jin 49–74 39.84%
LangLang vs Kazuya 54–50 51.92%
LangLang vs Reina 47–51 47.96%
LangLang vs Bryan 32–42 43.24%
LangLang vs Eddy 31–40 43.66%
LangLang vs Law 31–38 44.93%
LangLang vs Hwoarang 43–26 62.32%
LangLang vs Azucena 27–37 42.19%
LangLang vs Jun 39–23 62.90%
LangLang vs Heihachi 31–31 50.00%
LangLang vs Steve 30–29 50.85%
LangLang vs Yoshimitsu 25–30 45.45%
LangLang vs Lili 28–25 52.83%
LangLang vs Xiaoyu 21–27 43.75%
LangLang vs Victor 20–28 41.67%
LangLang vs Lidia 19–27 41.30%
LangLang vs Lee 27–17 61.36%
LangLang vs Armor King 12–30 28.57%
LangLang vs Asuka 13–25 34.21%
LangLang vs Nina 13–24 35.14%
LangLang vs Paul 12–24 33.33%
LangLang vs Feng 18–18 50.00%
LangLang vs Dragunov 11–25 30.56%
LangLang vs Leo 12–24 33.33%
LangLang vs Claudio 25–9 73.53%
LangLang vs Lars 13–19 40.62%
LangLang vs Leroy 13–18 41.94%
LangLang vs Devil Jin 13–17 43.33%
LangLang vs Raven 17–12 58.62%
LangLang vs Alisa 12–13 48.00%
LangLang vs Clive 12–13 48.00%
LangLang vs Zafina 6–16 27.27%
LangLang vs Jack-8 8–13 38.10%
LangLang vs Anna 6–13 31.58%
LangLang vs Miary Zo 5–11 31.25%
LangLang vs Fahkumram 9–5 64.29%
LangLang vs Shaheen 5–6 45.45%
LangLang vs Kuma 4–7 36.36%
LangLang vs Panda 2–3 40.00%

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.