Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

McasaLona vs King 63–66 48.84%
McasaLona vs Kazuya 48–51 48.48%
McasaLona vs Law 32–58 35.56%
McasaLona vs Jin 44–44 50.00%
McasaLona vs Hwoarang 43–44 49.43%
McasaLona vs Reina 46–35 56.79%
McasaLona vs Steve 39–41 48.75%
McasaLona vs Dragunov 43–32 57.33%
McasaLona vs Jun 35–38 47.95%
McasaLona vs Bryan 28–43 39.44%
McasaLona vs Heihachi 23–44 34.33%
McasaLona vs Azucena 28–31 47.46%
McasaLona vs Victor 27–31 46.55%
McasaLona vs Lee 16–36 30.77%
McasaLona vs Eddy 27–24 52.94%
McasaLona vs Lidia 29–22 56.86%
McasaLona vs Clive 17–34 33.33%
McasaLona vs Yoshimitsu 19–29 39.58%
McasaLona vs Lili 21–27 43.75%
McasaLona vs Asuka 24–19 55.81%
McasaLona vs Lars 18–25 41.86%
McasaLona vs Devil Jin 17–23 42.50%
McasaLona vs Alisa 14–23 37.84%
McasaLona vs Nina 18–17 51.43%
McasaLona vs Xiaoyu 9–21 30.00%
McasaLona vs Feng 9–21 30.00%
McasaLona vs Leo 15–15 50.00%
McasaLona vs Leroy 12–17 41.38%
McasaLona vs Paul 14–13 51.85%
McasaLona vs Zafina 12–10 54.55%
McasaLona vs Kuma 8–13 38.10%
McasaLona vs Raven 10–10 50.00%
McasaLona vs Jack-8 8–11 42.11%
McasaLona vs Armor King 11–8 57.89%
McasaLona vs Claudio 6–10 37.50%
McasaLona vs Anna 5–10 33.33%
McasaLona vs Shaheen 8–4 66.67%
McasaLona vs Panda 3–3 50.00%
McasaLona vs Fahkumram 1–5 16.67%

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.