Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

InariHaku999 vs Jun 10–7 58.82%
InariHaku999 vs Reina 8–9 47.06%
InariHaku999 vs King 4–11 26.67%
InariHaku999 vs Lee 6–7 46.15%
InariHaku999 vs Azucena 6–7 46.15%
InariHaku999 vs Jin 10–2 83.33%
InariHaku999 vs Kazuya 4–6 40.00%
InariHaku999 vs Steve 7–3 70.00%
InariHaku999 vs Heihachi 6–4 60.00%
InariHaku999 vs Hwoarang 4–5 44.44%
InariHaku999 vs Eddy 6–3 66.67%
InariHaku999 vs Feng 5–3 62.50%
InariHaku999 vs Lidia 8–0 100.00%
InariHaku999 vs Law 1–6 14.29%
InariHaku999 vs Bryan 5–1 83.33%
InariHaku999 vs Asuka 4–2 66.67%
InariHaku999 vs Lili 6–0 100.00%
InariHaku999 vs Dragunov 2–3 40.00%
InariHaku999 vs Alisa 3–2 60.00%
InariHaku999 vs Nina 3–2 60.00%
InariHaku999 vs Miary Zo 1–4 20.00%
InariHaku999 vs Yoshimitsu 3–1 75.00%
InariHaku999 vs Kuma 2–2 50.00%
InariHaku999 vs Raven 3–1 75.00%
InariHaku999 vs Clive 3–1 75.00%
InariHaku999 vs Zafina 1–2 33.33%
InariHaku999 vs Xiaoyu 2–0 100.00%
InariHaku999 vs Jack-8 2–0 100.00%
InariHaku999 vs Claudio 1–1 50.00%
InariHaku999 vs Shaheen 2–0 100.00%
InariHaku999 vs Anna 0–2 0.00%
InariHaku999 vs Paul 1–0 100.00%
InariHaku999 vs Devil Jin 1–0 100.00%
InariHaku999 vs Lars 0–1 0.00%
InariHaku999 vs Panda 1–0 100.00%
InariHaku999 vs Fahkumram 1–0 100.00%
InariHaku999 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.