Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tavoletta vs Jin 107–98 52.20%
Tavoletta vs Kazuya 106–93 53.27%
Tavoletta vs Bryan 84–74 53.16%
Tavoletta vs King 68–77 46.90%
Tavoletta vs Paul 84–56 60.00%
Tavoletta vs Hwoarang 79–54 59.40%
Tavoletta vs Dragunov 58–66 46.77%
Tavoletta vs Reina 61–62 49.59%
Tavoletta vs Law 55–54 50.46%
Tavoletta vs Eddy 46–54 46.00%
Tavoletta vs Jun 53–36 59.55%
Tavoletta vs Lili 46–42 52.27%
Tavoletta vs Yoshimitsu 36–48 42.86%
Tavoletta vs Steve 41–38 51.90%
Tavoletta vs Lee 47–31 60.26%
Tavoletta vs Azucena 44–31 58.67%
Tavoletta vs Lidia 46–22 67.65%
Tavoletta vs Xiaoyu 29–38 43.28%
Tavoletta vs Asuka 42–25 62.69%
Tavoletta vs Lars 30–31 49.18%
Tavoletta vs Devil Jin 28–32 46.67%
Tavoletta vs Feng 21–34 38.18%
Tavoletta vs Victor 20–35 36.36%
Tavoletta vs Alisa 22–31 41.51%
Tavoletta vs Nina 26–27 49.06%
Tavoletta vs Jack-8 25–26 49.02%
Tavoletta vs Leo 24–20 54.55%
Tavoletta vs Heihachi 22–22 50.00%
Tavoletta vs Shaheen 17–19 47.22%
Tavoletta vs Leroy 17–17 50.00%
Tavoletta vs Claudio 12–21 36.36%
Tavoletta vs Raven 14–16 46.67%
Tavoletta vs Clive 16–11 59.26%
Tavoletta vs Anna 15–12 55.56%
Tavoletta vs Armor King 9–14 39.13%
Tavoletta vs Kuma 8–11 42.11%
Tavoletta vs Panda 4–8 33.33%
Tavoletta vs Zafina 3–9 25.00%
Tavoletta vs Miary Zo 4–5 44.44%
Tavoletta vs Fahkumram 4–2 66.67%

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.