Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tk_Shaolin vs Jin 38–19 66.67%
Tk_Shaolin vs Reina 38–15 71.70%
Tk_Shaolin vs Paul 25–15 62.50%
Tk_Shaolin vs Bryan 30–9 76.92%
Tk_Shaolin vs Hwoarang 25–9 73.53%
Tk_Shaolin vs Law 27–6 81.82%
Tk_Shaolin vs Kazuya 30–3 90.91%
Tk_Shaolin vs King 17–15 53.12%
Tk_Shaolin vs Dragunov 23–9 71.88%
Tk_Shaolin vs Asuka 18–11 62.07%
Tk_Shaolin vs Lee 16–10 61.54%
Tk_Shaolin vs Feng 17–8 68.00%
Tk_Shaolin vs Azucena 15–9 62.50%
Tk_Shaolin vs Steve 15–4 78.95%
Tk_Shaolin vs Nina 13–5 72.22%
Tk_Shaolin vs Devil Jin 15–2 88.24%
Tk_Shaolin vs Leroy 14–3 82.35%
Tk_Shaolin vs Yoshimitsu 7–8 46.67%
Tk_Shaolin vs Alisa 13–2 86.67%
Tk_Shaolin vs Kuma 12–3 80.00%
Tk_Shaolin vs Eddy 11–4 73.33%
Tk_Shaolin vs Claudio 11–3 78.57%
Tk_Shaolin vs Lili 11–2 84.62%
Tk_Shaolin vs Lars 10–3 76.92%
Tk_Shaolin vs Victor 4–8 33.33%
Tk_Shaolin vs Leo 9–2 81.82%
Tk_Shaolin vs Jack-8 8–2 80.00%
Tk_Shaolin vs Jun 4–6 40.00%
Tk_Shaolin vs Raven 7–3 70.00%
Tk_Shaolin vs Xiaoyu 6–2 75.00%
Tk_Shaolin vs Zafina 4–4 50.00%
Tk_Shaolin vs Armor King 6–2 75.00%
Tk_Shaolin vs Lidia 6–1 85.71%
Tk_Shaolin vs Shaheen 3–2 60.00%
Tk_Shaolin vs Clive 4–0 100.00%
Tk_Shaolin vs Miary Zo 2–1 66.67%
Tk_Shaolin vs Panda 1–1 50.00%
Tk_Shaolin vs Heihachi 2–0 100.00%
Tk_Shaolin vs Anna 1–0 100.00%

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.