Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tulsa King vs Miary Zo 34–29 53.97%
Tulsa King vs Kazuya 22–22 50.00%
Tulsa King vs Armor King 27–11 71.05%
Tulsa King vs Jin 24–6 80.00%
Tulsa King vs Steve 18–7 72.00%
Tulsa King vs Bryan 12–11 52.17%
Tulsa King vs Hwoarang 13–8 61.90%
Tulsa King vs Dragunov 11–7 61.11%
Tulsa King vs Law 11–6 64.71%
Tulsa King vs Heihachi 11–6 64.71%
Tulsa King vs Devil Jin 5–11 31.25%
Tulsa King vs Azucena 9–6 60.00%
Tulsa King vs Fahkumram 9–6 60.00%
Tulsa King vs Paul 11–3 78.57%
Tulsa King vs King 7–7 50.00%
Tulsa King vs Lee 8–6 57.14%
Tulsa King vs Feng 9–3 75.00%
Tulsa King vs Xiaoyu 3–8 27.27%
Tulsa King vs Lili 7–4 63.64%
Tulsa King vs Clive 7–4 63.64%
Tulsa King vs Reina 7–3 70.00%
Tulsa King vs Anna 6–4 60.00%
Tulsa King vs Yoshimitsu 8–1 88.89%
Tulsa King vs Nina 6–2 75.00%
Tulsa King vs Victor 6–2 75.00%
Tulsa King vs Alisa 6–1 85.71%
Tulsa King vs Shaheen 6–1 85.71%
Tulsa King vs Leroy 2–5 28.57%
Tulsa King vs Asuka 4–2 66.67%
Tulsa King vs Jack-8 2–3 40.00%
Tulsa King vs Leo 5–0 100.00%
Tulsa King vs Claudio 5–0 100.00%
Tulsa King vs Zafina 4–1 80.00%
Tulsa King vs Lars 2–2 50.00%
Tulsa King vs Jun 1–2 33.33%
Tulsa King vs Raven 2–1 66.67%
Tulsa King vs Kuma 2–0 100.00%
Tulsa King vs Eddy 2–0 100.00%
Tulsa King vs Lidia 2–0 100.00%

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.