Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Highland vs King 91–64 58.71%
Highland vs Heihachi 85–61 58.22%
Highland vs Kazuya 66–71 48.18%
Highland vs Jin 75–49 60.48%
Highland vs Reina 70–48–1 59.32%
Highland vs Bryan 69–46–1 60.00%
Highland vs Law 67–39 63.21%
Highland vs Steve 65–40 61.90%
Highland vs Azucena 55–44 55.56%
Highland vs Hwoarang 54–43 55.67%
Highland vs Dragunov 53–39 57.61%
Highland vs Lili 42–46 47.73%
Highland vs Lars 55–31 63.95%
Highland vs Lee 38–41 48.10%
Highland vs Clive 51–26 66.23%
Highland vs Paul 30–38 44.12%
Highland vs Yoshimitsu 33–35 48.53%
Highland vs Victor 39–29 57.35%
Highland vs Asuka 37–28 56.92%
Highland vs Jun 44–20 68.75%
Highland vs Eddy 26–36 41.94%
Highland vs Raven 35–23 60.34%
Highland vs Leroy 30–23 56.60%
Highland vs Fahkumram 31–18 63.27%
Highland vs Feng 27–20 57.45%
Highland vs Devil Jin 23–23 50.00%
Highland vs Nina 24–21 53.33%
Highland vs Xiaoyu 21–23 47.73%
Highland vs Lidia 22–17 56.41%
Highland vs Jack-8 20–18 52.63%
Highland vs Leo 16–15 51.61%
Highland vs Claudio 16–7 69.57%
Highland vs Kuma 16–7 69.57%
Highland vs Armor King 10–13 43.48%
Highland vs Alisa 10–11 47.62%
Highland vs Shaheen 11–6 64.71%
Highland vs Zafina 4–11 26.67%
Highland vs Panda 7–1 87.50%
Highland vs Anna 3–2 60.00%
Highland vs Miary Zo 2–1 66.67%

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.