Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Grimoire_Lover

Ratings

Grimoire_Lover vs King 13–18 41.94%
Grimoire_Lover vs Fahkumram 10–15 40.00%
Grimoire_Lover vs Clive 11–12 47.83%
Grimoire_Lover vs Asuka 6–13 31.58%
Grimoire_Lover vs Kazuya 7–5 58.33%
Grimoire_Lover vs Lili 3–7 30.00%
Grimoire_Lover vs Reina 7–3 70.00%
Grimoire_Lover vs Steve 6–2–1 75.00%
Grimoire_Lover vs Lee 2–7 22.22%
Grimoire_Lover vs Raven 6–3 66.67%
Grimoire_Lover vs Dragunov 2–6 25.00%
Grimoire_Lover vs Azucena 5–3 62.50%
Grimoire_Lover vs Eddy 2–6 25.00%
Grimoire_Lover vs Lidia 5–3 62.50%
Grimoire_Lover vs Zafina 3–4 42.86%
Grimoire_Lover vs Anna 3–4 42.86%
Grimoire_Lover vs Hwoarang 4–2 66.67%
Grimoire_Lover vs Jin 0–6 0.00%
Grimoire_Lover vs Leo 2–4 33.33%
Grimoire_Lover vs Yoshimitsu 2–3 40.00%
Grimoire_Lover vs Xiaoyu 3–2 60.00%
Grimoire_Lover vs Lars 4–1 80.00%
Grimoire_Lover vs Shaheen 2–3 40.00%
Grimoire_Lover vs Jun 2–3 40.00%
Grimoire_Lover vs Bryan 2–2 50.00%
Grimoire_Lover vs Leroy 0–4 0.00%
Grimoire_Lover vs Heihachi 3–1 75.00%
Grimoire_Lover vs Law 1–2 33.33%
Grimoire_Lover vs Alisa 1–2 33.33%
Grimoire_Lover vs Nina 1–2 33.33%
Grimoire_Lover vs Devil Jin 0–2 0.00%
Grimoire_Lover vs Feng 0–2 0.00%
Grimoire_Lover vs Kuma 0–2 0.00%
Grimoire_Lover vs Panda 0–2 0.00%
Grimoire_Lover vs Victor 0–2 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.