Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Malnourished vs Bryan 15–15 50.00%
Malnourished vs Steve 15–15 50.00%
Malnourished vs Hwoarang 7–18 28.00%
Malnourished vs King 11–9 55.00%
Malnourished vs Jin 9–10 47.37%
Malnourished vs Azucena 4–14 22.22%
Malnourished vs Kazuya 10–7 58.82%
Malnourished vs Asuka 7–10 41.18%
Malnourished vs Dragunov 7–8 46.67%
Malnourished vs Armor King 6–8 42.86%
Malnourished vs Leroy 9–4 69.23%
Malnourished vs Victor 7–5 58.33%
Malnourished vs Reina 6–5 54.55%
Malnourished vs Eddy 6–4 60.00%
Malnourished vs Miary Zo 5–5 50.00%
Malnourished vs Law 4–5 44.44%
Malnourished vs Yoshimitsu 4–5 44.44%
Malnourished vs Lidia 3–6 33.33%
Malnourished vs Fahkumram 3–5 37.50%
Malnourished vs Nina 2–5 28.57%
Malnourished vs Paul 4–2 66.67%
Malnourished vs Heihachi 3–3 50.00%
Malnourished vs Shaheen 2–3 40.00%
Malnourished vs Lee 4–1 80.00%
Malnourished vs Lili 2–2 50.00%
Malnourished vs Leo 2–2 50.00%
Malnourished vs Lars 2–2 50.00%
Malnourished vs Kuma 2–2 50.00%
Malnourished vs Raven 2–2 50.00%
Malnourished vs Clive 2–2 50.00%
Malnourished vs Alisa 1–2 33.33%
Malnourished vs Feng 2–0 100.00%
Malnourished vs Claudio 2–0 100.00%
Malnourished vs Panda 1–1 50.00%
Malnourished vs Jun 0–2 0.00%
Malnourished vs Anna 2–0 100.00%
Malnourished vs Devil Jin 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.