Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Runerune vs Kazuya 65–102 38.92%
Runerune vs King 65–100 39.39%
Runerune vs Reina 59–84 41.26%
Runerune vs Paul 48–94 33.80%
Runerune vs Dragunov 49–88 35.77%
Runerune vs Hwoarang 45–70 39.13%
Runerune vs Bryan 32–83 27.83%
Runerune vs Jin 42–72 36.84%
Runerune vs Steve 33–72 31.43%
Runerune vs Lili 38–62 38.00%
Runerune vs Jun 25–68 26.88%
Runerune vs Heihachi 37–55 40.22%
Runerune vs Clive 32–56 36.36%
Runerune vs Asuka 31–53 36.90%
Runerune vs Victor 20–50 28.57%
Runerune vs Armor King 29–40 42.03%
Runerune vs Law 21–43 32.81%
Runerune vs Yoshimitsu 31–31 50.00%
Runerune vs Xiaoyu 26–32 44.83%
Runerune vs Lidia 24–33 42.11%
Runerune vs Devil Jin 11–43 20.37%
Runerune vs Nina 21–29 42.00%
Runerune vs Azucena 23–27 46.00%
Runerune vs Leo 19–26 42.22%
Runerune vs Lee 22–21 51.16%
Runerune vs Feng 13–22 37.14%
Runerune vs Lars 14–21 40.00%
Runerune vs Alisa 14–21 40.00%
Runerune vs Fahkumram 9–25 26.47%
Runerune vs Leroy 18–14 56.25%
Runerune vs Kuma 14–14 50.00%
Runerune vs Eddy 15–12 55.56%
Runerune vs Anna 13–14 48.15%
Runerune vs Jack-8 5–18 21.74%
Runerune vs Claudio 8–14 36.36%
Runerune vs Shaheen 7–10 41.18%
Runerune vs Raven 9–8 52.94%
Runerune vs Panda 8–4 66.67%
Runerune vs Miary Zo 3–6 33.33%
Runerune vs Zafina 3–5 37.50%

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.