Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rubyllion vs Jin 110–110 50.00%
Rubyllion vs Kazuya 92–97 48.68%
Rubyllion vs King 82–86 48.81%
Rubyllion vs Reina 69–80 46.31%
Rubyllion vs Bryan 54–72 42.86%
Rubyllion vs Lili 51–56 47.66%
Rubyllion vs Hwoarang 38–63 37.62%
Rubyllion vs Dragunov 49–50 49.49%
Rubyllion vs Steve 37–56 39.78%
Rubyllion vs Azucena 29–54 34.94%
Rubyllion vs Devil Jin 39–43 47.56%
Rubyllion vs Heihachi 34–47 41.98%
Rubyllion vs Paul 31–49 38.75%
Rubyllion vs Asuka 27–42 39.13%
Rubyllion vs Jun 33–34 49.25%
Rubyllion vs Yoshimitsu 30–30 50.00%
Rubyllion vs Law 29–27 51.79%
Rubyllion vs Lee 25–31 44.64%
Rubyllion vs Eddy 22–34 39.29%
Rubyllion vs Leo 21–30 41.18%
Rubyllion vs Nina 26–23 53.06%
Rubyllion vs Feng 24–24 50.00%
Rubyllion vs Lars 18–29 38.30%
Rubyllion vs Alisa 16–27 37.21%
Rubyllion vs Claudio 21–17 55.26%
Rubyllion vs Victor 18–18 50.00%
Rubyllion vs Leroy 14–19 42.42%
Rubyllion vs Xiaoyu 9–20 31.03%
Rubyllion vs Lidia 14–15 48.28%
Rubyllion vs Shaheen 14–12 53.85%
Rubyllion vs Zafina 13–13 50.00%
Rubyllion vs Jack-8 6–16 27.27%
Rubyllion vs Kuma 11–5 68.75%
Rubyllion vs Raven 7–6 53.85%
Rubyllion vs Clive 2–3 40.00%
Rubyllion vs Panda 3–1 75.00%
Rubyllion vs Anna 1–2 33.33%
Rubyllion vs Armor King 2–1 66.67%
Rubyllion vs Fahkumram 0–2 0.00%

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.