Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Manyhelabi vs King 53–42 55.79%
Manyhelabi vs Steve 28–23 54.90%
Manyhelabi vs Kazuya 29–20 59.18%
Manyhelabi vs Jin 27–11 71.05%
Manyhelabi vs Law 18–17 51.43%
Manyhelabi vs Dragunov 26–5 83.87%
Manyhelabi vs Hwoarang 16–12 57.14%
Manyhelabi vs Eddy 15–10 60.00%
Manyhelabi vs Bryan 9–15 37.50%
Manyhelabi vs Devil Jin 14–8 63.64%
Manyhelabi vs Victor 14–8 63.64%
Manyhelabi vs Yoshimitsu 10–10 50.00%
Manyhelabi vs Heihachi 7–13 35.00%
Manyhelabi vs Lee 10–9 52.63%
Manyhelabi vs Lili 7–8 46.67%
Manyhelabi vs Anna 7–8 46.67%
Manyhelabi vs Reina 9–5 64.29%
Manyhelabi vs Clive 7–6 53.85%
Manyhelabi vs Azucena 8–4 66.67%
Manyhelabi vs Nina 5–5 50.00%
Manyhelabi vs Fahkumram 4–6 40.00%
Manyhelabi vs Jack-8 5–4 55.56%
Manyhelabi vs Alisa 2–7 22.22%
Manyhelabi vs Asuka 2–6 25.00%
Manyhelabi vs Leo 6–2 75.00%
Manyhelabi vs Xiaoyu 5–2 71.43%
Manyhelabi vs Jun 6–1 85.71%
Manyhelabi vs Paul 1–5 16.67%
Manyhelabi vs Leroy 2–4 33.33%
Manyhelabi vs Raven 1–4 20.00%
Manyhelabi vs Lidia 1–4 20.00%
Manyhelabi vs Lars 2–2 50.00%
Manyhelabi vs Feng 1–2 33.33%
Manyhelabi vs Claudio 2–1 66.67%
Manyhelabi vs Shaheen 2–0 100.00%
Manyhelabi vs Kuma 2–0 100.00%
Manyhelabi vs Panda 0–1 0.00%
Manyhelabi vs Zafina 1–0 100.00%
Manyhelabi vs Armor King 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.