Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Geek vs Asuka 73–19 79.35%
Geek vs Xiaoyu 40–27 59.70%
Geek vs Lili 35–22 61.40%
Geek vs Nina 26–3 89.66%
Geek vs Zafina 17–9 65.38%
Geek vs Armor King 16–8 66.67%
Geek vs Anna 13–6 68.42%
Geek vs Bryan 9–9 50.00%
Geek vs Heihachi 12–5 70.59%
Geek vs Yoshimitsu 11–5 68.75%
Geek vs Reina 13–3 81.25%
Geek vs Law 9–6 60.00%
Geek vs Jun 8–6 57.14%
Geek vs Jack-8 8–5 61.54%
Geek vs Kazuya 5–7 41.67%
Geek vs Dragunov 11–1 91.67%
Geek vs Claudio 8–4 66.67%
Geek vs Azucena 8–4 66.67%
Geek vs King 8–2 80.00%
Geek vs Hwoarang 6–4 60.00%
Geek vs Paul 5–4 55.56%
Geek vs Lars 5–4 55.56%
Geek vs Alisa 7–2 77.78%
Geek vs Leo 5–3 62.50%
Geek vs Jin 3–4 42.86%
Geek vs Feng 2–5 28.57%
Geek vs Shaheen 5–2 71.43%
Geek vs Leroy 3–4 42.86%
Geek vs Eddy 4–2 66.67%
Geek vs Lidia 5–1 83.33%
Geek vs Steve 3–2 60.00%
Geek vs Victor 4–0 100.00%
Geek vs Devil Jin 3–0 100.00%
Geek vs Lee 1–1 50.00%
Geek vs Kuma 0–2 0.00%
Geek vs Panda 1–1 50.00%
Geek vs Clive 0–1 0.00%
Geek vs Fahkumram 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.