Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

EngineerGaming vs Law 8–13 38.10%
EngineerGaming vs King 6–12 33.33%
EngineerGaming vs Hwoarang 7–9 43.75%
EngineerGaming vs Jin 10–4 71.43%
EngineerGaming vs Clive 9–5 64.29%
EngineerGaming vs Bryan 10–3 76.92%
EngineerGaming vs Reina 10–3 76.92%
EngineerGaming vs Yoshimitsu 5–5 50.00%
EngineerGaming vs Kazuya 2–8 20.00%
EngineerGaming vs Steve 7–2 77.78%
EngineerGaming vs Heihachi 3–6 33.33%
EngineerGaming vs Devil Jin 6–2 75.00%
EngineerGaming vs Anna 5–3 62.50%
EngineerGaming vs Lili 5–2 71.43%
EngineerGaming vs Victor 5–2 71.43%
EngineerGaming vs Eddy 2–5 28.57%
EngineerGaming vs Leroy 3–2 60.00%
EngineerGaming vs Nina 2–2 50.00%
EngineerGaming vs Lidia 3–1 75.00%
EngineerGaming vs Xiaoyu 1–2 33.33%
EngineerGaming vs Lee 1–2 33.33%
EngineerGaming vs Jun 0–3 0.00%
EngineerGaming vs Azucena 1–2 33.33%
EngineerGaming vs Raven 2–1 66.67%
EngineerGaming vs Paul 0–2 0.00%
EngineerGaming vs Jack-8 0–2 0.00%
EngineerGaming vs Asuka 2–0 100.00%
EngineerGaming vs Feng 0–2 0.00%
EngineerGaming vs Lars 2–0 100.00%
EngineerGaming vs Armor King 2–0 100.00%
EngineerGaming vs Dragunov 1–0 100.00%
EngineerGaming vs Alisa 1–0 100.00%
EngineerGaming vs Panda 1–0 100.00%
EngineerGaming vs Fahkumram 1–0 100.00%
EngineerGaming vs Miary Zo 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.