Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Jakey :) vs Kazuya 87–65 57.24%
Jakey :) vs Jin 71–37 65.74%
Jakey :) vs Bryan 64–27 70.33%
Jakey :) vs Reina 46–40 53.49%
Jakey :) vs Anna 35–44 44.30%
Jakey :) vs Law 46–29 61.33%
Jakey :) vs Heihachi 41–33 55.41%
Jakey :) vs Hwoarang 40–32 55.56%
Jakey :) vs Lili 41–24 63.08%
Jakey :) vs Devil Jin 37–27 57.81%
Jakey :) vs Lee 27–36 42.86%
Jakey :) vs Armor King 38–25 60.32%
Jakey :) vs King 30–31 49.18%
Jakey :) vs Asuka 37–23 61.67%
Jakey :) vs Paul 32–26 55.17%
Jakey :) vs Steve 32–25 56.14%
Jakey :) vs Dragunov 29–20 59.18%
Jakey :) vs Feng 25–22 53.19%
Jakey :) vs Yoshimitsu 30–16 65.22%
Jakey :) vs Claudio 16–27 37.21%
Jakey :) vs Nina 20–23 46.51%
Jakey :) vs Fahkumram 20–22 47.62%
Jakey :) vs Jun 25–16 60.98%
Jakey :) vs Zafina 21–16 56.76%
Jakey :) vs Lars 15–17 46.88%
Jakey :) vs Lidia 12–20 37.50%
Jakey :) vs Leo 16–14 53.33%
Jakey :) vs Azucena 19–11 63.33%
Jakey :) vs Xiaoyu 17–11 60.71%
Jakey :) vs Eddy 21–7 75.00%
Jakey :) vs Leroy 12–15 44.44%
Jakey :) vs Jack-8 15–11 57.69%
Jakey :) vs Miary Zo 14–11 56.00%
Jakey :) vs Clive 12–11 52.17%
Jakey :) vs Victor 12–10 54.55%
Jakey :) vs Shaheen 13–5 72.22%
Jakey :) vs Alisa 15–2 88.24%
Jakey :) vs Raven 8–4 66.67%
Jakey :) vs Kuma 5–5 50.00%
Jakey :) vs Panda 4–4 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.