Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Metacron vs Kazuya 85–109 43.81%
Metacron vs King 99–94 51.30%
Metacron vs Law 89–79 52.98%
Metacron vs Bryan 68–99 40.72%
Metacron vs Hwoarang 77–71 52.03%
Metacron vs Jin 58–85 40.56%
Metacron vs Steve 62–68 47.69%
Metacron vs Paul 55–55 50.00%
Metacron vs Heihachi 41–44 48.24%
Metacron vs Dragunov 35–49 41.67%
Metacron vs Reina 40–41 49.38%
Metacron vs Lili 39–38 50.65%
Metacron vs Yoshimitsu 31–45 40.79%
Metacron vs Devil Jin 27–41 39.71%
Metacron vs Alisa 33–30 52.38%
Metacron vs Lee 29–34 46.03%
Metacron vs Azucena 16–46 25.81%
Metacron vs Jun 28–33 45.90%
Metacron vs Asuka 25–32 43.86%
Metacron vs Jack-8 20–32 38.46%
Metacron vs Eddy 30–21 58.82%
Metacron vs Feng 23–25 47.92%
Metacron vs Victor 26–22 54.17%
Metacron vs Armor King 20–22 47.62%
Metacron vs Nina 20–19 51.28%
Metacron vs Xiaoyu 18–20 47.37%
Metacron vs Lidia 22–16 57.89%
Metacron vs Lars 19–15 55.88%
Metacron vs Claudio 25–8 75.76%
Metacron vs Clive 16–15 51.61%
Metacron vs Fahkumram 16–15 51.61%
Metacron vs Leo 16–11 59.26%
Metacron vs Kuma 10–15 40.00%
Metacron vs Leroy 12–9 57.14%
Metacron vs Anna 13–8 61.90%
Metacron vs Zafina 12–8 60.00%
Metacron vs Shaheen 3–15 16.67%
Metacron vs Raven 8–9 47.06%
Metacron vs Miary Zo 7–10 41.18%
Metacron vs Panda 6–4 60.00%

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.