Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Geek
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Ratings

Geek vs Steve 9–4 69.23%
Geek vs King 4–5 44.44%
Geek vs Alisa 6–1 85.71%
Geek vs Miary Zo 4–3 57.14%
Geek vs Law 5–1 83.33%
Geek vs Nina 3–3 50.00%
Geek vs Leroy 5–1 83.33%
Geek vs Reina 6–0 100.00%
Geek vs Armor King 0–6 0.00%
Geek vs Paul 4–1 80.00%
Geek vs Hwoarang 3–2 60.00%
Geek vs Kazuya 0–5 0.00%
Geek vs Lili 4–1 80.00%
Geek vs Leo 4–1 80.00%
Geek vs Raven 3–2 60.00%
Geek vs Bryan 4–0 100.00%
Geek vs Dragunov 2–2 50.00%
Geek vs Fahkumram 3–1 75.00%
Geek vs Lars 1–2 33.33%
Geek vs Lee 0–3 0.00%
Geek vs Jun 2–1 66.67%
Geek vs Victor 3–0 100.00%
Geek vs Eddy 2–1 66.67%
Geek vs Heihachi 2–1 66.67%
Geek vs Jin 0–2 0.00%
Geek vs Asuka 0–2 0.00%
Geek vs Shaheen 1–1 50.00%
Geek vs Azucena 1–1 50.00%
Geek vs Lidia 2–0 100.00%
Geek vs Xiaoyu 0–1 0.00%
Geek vs Panda 1–0 100.00%
Geek vs Clive 0–1 0.00%
Geek 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.