Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dreamer! vs Kazuya 175–94 65.06%
Dreamer! vs King 112–93 54.63%
Dreamer! vs Jin 120–72 62.50%
Dreamer! vs Reina 102–74 57.95%
Dreamer! vs Steve 77–48 61.60%
Dreamer! vs Bryan 65–57 53.28%
Dreamer! vs Paul 62–55 52.99%
Dreamer! vs Heihachi 63–48 56.76%
Dreamer! vs Dragunov 68–41 62.39%
Dreamer! vs Asuka 58–44 56.86%
Dreamer! vs Jun 61–38 61.62%
Dreamer! vs Hwoarang 56–38 59.57%
Dreamer! vs Lili 51–29 63.75%
Dreamer! vs Azucena 48–29 62.34%
Dreamer! vs Law 37–34 52.11%
Dreamer! vs Yoshimitsu 41–30 57.75%
Dreamer! vs Lee 40–30 57.14%
Dreamer! vs Devil Jin 27–40 40.30%
Dreamer! vs Lars 30–29 50.85%
Dreamer! vs Eddy 27–32 45.76%
Dreamer! vs Lidia 33–23 58.93%
Dreamer! vs Nina 21–30 41.18%
Dreamer! vs Victor 23–21 52.27%
Dreamer! vs Jack-8 25–16 60.98%
Dreamer! vs Alisa 23–16 58.97%
Dreamer! vs Xiaoyu 21–15 58.33%
Dreamer! vs Clive 13–20 39.39%
Dreamer! vs Zafina 14–12 53.85%
Dreamer! vs Feng 6–17 26.09%
Dreamer! vs Leo 14–9 60.87%
Dreamer! vs Kuma 11–11 50.00%
Dreamer! vs Leroy 11–11 50.00%
Dreamer! vs Shaheen 10–10 50.00%
Dreamer! vs Claudio 10–9 52.63%
Dreamer! vs Panda 10–7 58.82%
Dreamer! vs Anna 7–7 50.00%
Dreamer! vs Armor King 8–3 72.73%
Dreamer! vs Miary Zo 10–1 90.91%
Dreamer! vs Raven 2–8 20.00%
Dreamer! vs Fahkumram 1–2 33.33%

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.