Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Excellent vs Jin 52–36 59.09%
Excellent vs King 47–25 65.28%
Excellent vs Kazuya 36–24 60.00%
Excellent vs Law 34–23 59.65%
Excellent vs Steve 34–17 66.67%
Excellent vs Hwoarang 34–14 70.83%
Excellent vs Bryan 22–12 64.71%
Excellent vs Devil Jin 14–11 56.00%
Excellent vs Reina 19–6 76.00%
Excellent vs Dragunov 13–11 54.17%
Excellent vs Armor King 7–17 29.17%
Excellent vs Nina 11–12 47.83%
Excellent vs Paul 9–12 42.86%
Excellent vs Lili 13–7 65.00%
Excellent vs Heihachi 10–10 50.00%
Excellent vs Lee 14–5 73.68%
Excellent vs Victor 8–11 42.11%
Excellent vs Asuka 12–5 70.59%
Excellent vs Alisa 8–9 47.06%
Excellent vs Yoshimitsu 6–10 37.50%
Excellent vs Lidia 7–9 43.75%
Excellent vs Clive 7–7 50.00%
Excellent vs Azucena 7–5 58.33%
Excellent vs Eddy 7–5 58.33%
Excellent vs Xiaoyu 6–4 60.00%
Excellent vs Lars 4–6 40.00%
Excellent vs Jun 6–3 66.67%
Excellent vs Anna 5–3 62.50%
Excellent vs Feng 3–4 42.86%
Excellent vs Leo 2–5 28.57%
Excellent vs Leroy 0–6 0.00%
Excellent vs Miary Zo 3–3 50.00%
Excellent vs Kuma 2–3 40.00%
Excellent vs Claudio 2–2 50.00%
Excellent vs Panda 4–0 100.00%
Excellent vs Raven 2–2 50.00%
Excellent vs Fahkumram 1–3 25.00%
Excellent vs Jack-8 2–1 66.67%
Excellent vs Zafina 0–3 0.00%
Excellent vs Shaheen 1–1 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.