Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Cheemken vs Jin 124–98 55.86%
Cheemken vs Kazuya 110–95–1 53.66%
Cheemken vs Bryan 72–83 46.45%
Cheemken vs King 95–54 63.76%
Cheemken vs Heihachi 65–61 51.59%
Cheemken vs Dragunov 56–50 52.83%
Cheemken vs Hwoarang 42–55 43.30%
Cheemken vs Law 51–45 53.12%
Cheemken vs Paul 47–41 53.41%
Cheemken vs Steve 43–40 51.81%
Cheemken vs Reina 46–36 56.10%
Cheemken vs Devil Jin 41–36 53.25%
Cheemken vs Yoshimitsu 37–26 58.73%
Cheemken vs Asuka 37–25 59.68%
Cheemken vs Lee 35–24 59.32%
Cheemken vs Fahkumram 32–27 54.24%
Cheemken vs Alisa 25–32 43.86%
Cheemken vs Lidia 28–29 49.12%
Cheemken vs Armor King 25–28 47.17%
Cheemken vs Lili 29–22 56.86%
Cheemken vs Victor 24–27 47.06%
Cheemken vs Feng 24–20 54.55%
Cheemken vs Leroy 16–22 42.11%
Cheemken vs Azucena 26–11 70.27%
Cheemken vs Jun 16–19 45.71%
Cheemken vs Eddy 16–17 48.48%
Cheemken vs Xiaoyu 17–12 58.62%
Cheemken vs Jack-8 14–15 48.28%
Cheemken vs Raven 15–13 53.57%
Cheemken vs Clive 12–14 46.15%
Cheemken vs Shaheen 15–10 60.00%
Cheemken vs Nina 14–11 56.00%
Cheemken vs Lars 8–16 33.33%
Cheemken vs Leo 16–7 69.57%
Cheemken vs Claudio 13–7 65.00%
Cheemken vs Anna 10–8 55.56%
Cheemken vs Kuma 5–6 45.45%
Cheemken vs Miary Zo 5–5 50.00%
Cheemken vs Zafina 5–4 55.56%
Cheemken vs Panda 2–2 50.00%

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.