Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NashidaUni vs Jin 8–11 42.11%
NashidaUni vs Hwoarang 6–9 40.00%
NashidaUni vs Yoshimitsu 7–6 53.85%
NashidaUni vs Clive 6–7 46.15%
NashidaUni vs King 5–7 41.67%
NashidaUni vs Reina 9–2 81.82%
NashidaUni vs Kazuya 3–5 37.50%
NashidaUni vs Lili 5–3 62.50%
NashidaUni vs Jun 3–5 37.50%
NashidaUni vs Feng 5–2 71.43%
NashidaUni vs Dragunov 4–3 57.14%
NashidaUni vs Claudio 4–3 57.14%
NashidaUni vs Anna 2–5 28.57%
NashidaUni vs Asuka 4–2 66.67%
NashidaUni vs Lee 3–3 50.00%
NashidaUni vs Bryan 1–4 20.00%
NashidaUni vs Steve 2–3 40.00%
NashidaUni vs Lars 2–3 40.00%
NashidaUni vs Kuma 2–3 40.00%
NashidaUni vs Zafina 2–3 40.00%
NashidaUni vs Eddy 1–4 20.00%
NashidaUni vs Lidia 1–4 20.00%
NashidaUni vs Heihachi 3–2 60.00%
NashidaUni vs Alisa 1–3 25.00%
NashidaUni vs Nina 2–2 50.00%
NashidaUni vs Leroy 2–2 50.00%
NashidaUni vs Azucena 2–2 50.00%
NashidaUni vs Law 3–0 100.00%
NashidaUni vs Leo 1–2 33.33%
NashidaUni vs Jack-8 0–2 0.00%
NashidaUni vs Raven 1–1 50.00%
NashidaUni vs Fahkumram 0–2 0.00%
NashidaUni vs Paul 1–0 100.00%
NashidaUni vs Shaheen 0–1 0.00%
NashidaUni vs Victor 0–1 0.00%

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.