Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rudester vs Jin 92–70 56.79%
Rudester vs Kazuya 95–55 63.33%
Rudester vs Bryan 65–69 48.51%
Rudester vs Hwoarang 51–68 42.86%
Rudester vs Paul 55–60 47.83%
Rudester vs Reina 54–49 52.43%
Rudester vs Dragunov 48–45 51.61%
Rudester vs Steve 49–43 53.26%
Rudester vs Devil Jin 41–47 46.59%
Rudester vs Law 50–36 58.14%
Rudester vs Heihachi 36–41 46.75%
Rudester vs Lee 39–36 52.00%
Rudester vs Asuka 35–34 50.72%
Rudester vs Yoshimitsu 39–28 58.21%
Rudester vs Armor King 33–32 50.77%
Rudester vs King 27–37 42.19%
Rudester vs Lili 38–26 59.38%
Rudester vs Claudio 34–28 54.84%
Rudester vs Leo 36–22 62.07%
Rudester vs Lars 30–23 56.60%
Rudester vs Azucena 33–20 62.26%
Rudester vs Xiaoyu 28–21 57.14%
Rudester vs Alisa 23–22 51.11%
Rudester vs Feng 30–13 69.77%
Rudester vs Zafina 22–18 55.00%
Rudester vs Jack-8 20–18 52.63%
Rudester vs Raven 19–17 52.78%
Rudester vs Nina 22–11 66.67%
Rudester vs Jun 11–22 33.33%
Rudester vs Clive 16–17 48.48%
Rudester vs Victor 17–13–1 56.67%
Rudester vs Kuma 18–10 64.29%
Rudester vs Eddy 14–12 53.85%
Rudester vs Lidia 11–9 55.00%
Rudester vs Leroy 10–7 58.82%
Rudester vs Miary Zo 5–10 33.33%
Rudester vs Shaheen 5–8 38.46%
Rudester vs Panda 5–6 45.45%
Rudester vs Fahkumram 5–3 62.50%
Rudester vs Anna 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.