Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

‎ ‎ ‎ ‎ ‎ vs Kazuya 125–151 45.29%
‎ ‎ ‎ ‎ ‎ vs Reina 105–83 55.85%
‎ ‎ ‎ ‎ ‎ vs Heihachi 91–91 50.00%
‎ ‎ ‎ ‎ ‎ vs Jin 75–83 47.47%
‎ ‎ ‎ ‎ ‎ vs Bryan 71–76 48.30%
‎ ‎ ‎ ‎ ‎ vs Dragunov 83–59 58.45%
‎ ‎ ‎ ‎ ‎ vs Hwoarang 63–78 44.68%
‎ ‎ ‎ ‎ ‎ vs King 59–52 53.15%
‎ ‎ ‎ ‎ ‎ vs Yoshimitsu 55–54 50.46%
‎ ‎ ‎ ‎ ‎ vs Steve 58–51 53.21%
‎ ‎ ‎ ‎ ‎ vs Lili 49–54 47.57%
‎ ‎ ‎ ‎ ‎ vs Paul 36–51 41.38%
‎ ‎ ‎ ‎ ‎ vs Law 41–46 47.13%
‎ ‎ ‎ ‎ ‎ vs Devil Jin 44–42 51.16%
‎ ‎ ‎ ‎ ‎ vs Lidia 35–39 47.30%
‎ ‎ ‎ ‎ ‎ vs Jun 43–30 58.90%
‎ ‎ ‎ ‎ ‎ vs Lee 41–26 61.19%
‎ ‎ ‎ ‎ ‎ vs Azucena 33–33 50.00%
‎ ‎ ‎ ‎ ‎ vs Armor King 29–37 43.94%
‎ ‎ ‎ ‎ ‎ vs Xiaoyu 34–30 53.12%
‎ ‎ ‎ ‎ ‎ vs Eddy 29–33 46.77%
‎ ‎ ‎ ‎ ‎ vs Alisa 24–34 41.38%
‎ ‎ ‎ ‎ ‎ vs Jack-8 25–24 51.02%
‎ ‎ ‎ ‎ ‎ vs Clive 19–30 38.78%
‎ ‎ ‎ ‎ ‎ vs Asuka 29–19 60.42%
‎ ‎ ‎ ‎ ‎ vs Nina 20–28 41.67%
‎ ‎ ‎ ‎ ‎ vs Lars 24–22 52.17%
‎ ‎ ‎ ‎ ‎ vs Leroy 18–26 40.91%
‎ ‎ ‎ ‎ ‎ vs Feng 12–26 31.58%
‎ ‎ ‎ ‎ ‎ vs Claudio 14–23 37.84%
‎ ‎ ‎ ‎ ‎ vs Victor 21–16 56.76%
‎ ‎ ‎ ‎ ‎ vs Leo 15–9 62.50%
‎ ‎ ‎ ‎ ‎ vs Raven 10–14 41.67%
‎ ‎ ‎ ‎ ‎ vs Fahkumram 12–12 50.00%
‎ ‎ ‎ ‎ ‎ vs Kuma 10–10 50.00%
‎ ‎ ‎ ‎ ‎ vs Zafina 3–11 21.43%
‎ ‎ ‎ ‎ ‎ vs Panda 4–6 40.00%
‎ ‎ ‎ ‎ ‎ vs Shaheen 7–2 77.78%
‎ ‎ ‎ ‎ ‎ vs Miary Zo 3–6 33.33%
‎ ‎ ‎ ‎ ‎ vs Anna 1–6 14.29%

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.