Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
DoonieExpert01

Ratings

DoonieExpert01 vs Asuka 6–7 46.15%
DoonieExpert01 vs Dragunov 9–4 69.23%
DoonieExpert01 vs King 5–7 41.67%
DoonieExpert01 vs Steve 3–9 25.00%
DoonieExpert01 vs Reina 10–2 83.33%
DoonieExpert01 vs Lili 4–6 40.00%
DoonieExpert01 vs Bryan 1–8 11.11%
DoonieExpert01 vs Eddy 4–5 44.44%
DoonieExpert01 vs Fahkumram 4–5 44.44%
DoonieExpert01 vs Law 3–5 37.50%
DoonieExpert01 vs Hwoarang 3–5 37.50%
DoonieExpert01 vs Kazuya 4–4 50.00%
DoonieExpert01 vs Lee 7–1 87.50%
DoonieExpert01 vs Xiaoyu 0–6 0.00%
DoonieExpert01 vs Jin 2–4 33.33%
DoonieExpert01 vs Devil Jin 3–3 50.00%
DoonieExpert01 vs Nina 2–4 33.33%
DoonieExpert01 vs Azucena 2–4 33.33%
DoonieExpert01 vs Lidia 2–4 33.33%
DoonieExpert01 vs Yoshimitsu 2–3 40.00%
DoonieExpert01 vs Jun 0–5 0.00%
DoonieExpert01 vs Leo 2–2 50.00%
DoonieExpert01 vs Lars 1–3 25.00%
DoonieExpert01 vs Shaheen 2–2 50.00%
DoonieExpert01 vs Alisa 1–2 33.33%
DoonieExpert01 vs Kuma 2–1 66.67%
DoonieExpert01 vs Clive 3–0 100.00%
DoonieExpert01 vs Anna 1–2 33.33%
DoonieExpert01 vs Paul 0–2 0.00%
DoonieExpert01 vs Feng 0–2 0.00%
DoonieExpert01 vs Leroy 2–0 100.00%
DoonieExpert01 vs Raven 2–0 100.00%
DoonieExpert01 vs Jack-8 1–0 100.00%
DoonieExpert01 vs Victor 0–1 0.00%
DoonieExpert01 vs Heihachi 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.