Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Innocent_1

Ratings

Innocent_1 vs Jin 12–12 50.00%
Innocent_1 vs Steve 13–8 61.90%
Innocent_1 vs Kazuya 8–9 47.06%
Innocent_1 vs Law 5–9 35.71%
Innocent_1 vs Armor King 5–9 35.71%
Innocent_1 vs Hwoarang 10–2 83.33%
Innocent_1 vs Bryan 8–4 66.67%
Innocent_1 vs Miary Zo 6–6 50.00%
Innocent_1 vs Xiaoyu 5–5 50.00%
Innocent_1 vs Nina 5–4 55.56%
Innocent_1 vs Yoshimitsu 6–2 75.00%
Innocent_1 vs King 3–4 42.86%
Innocent_1 vs Lili 4–3 57.14%
Innocent_1 vs Jun 3–3 50.00%
Innocent_1 vs Victor 4–2 66.67%
Innocent_1 vs Claudio 3–2 60.00%
Innocent_1 vs Leroy 5–0 100.00%
Innocent_1 vs Azucena 3–2 60.00%
Innocent_1 vs Clive 4–1 80.00%
Innocent_1 vs Anna 3–2 60.00%
Innocent_1 vs Fahkumram 2–3 40.00%
Innocent_1 vs Asuka 4–0 100.00%
Innocent_1 vs Devil Jin 3–1 75.00%
Innocent_1 vs Dragunov 2–2 50.00%
Innocent_1 vs Raven 4–0 100.00%
Innocent_1 vs Eddy 2–2 50.00%
Innocent_1 vs Panda 2–1 66.67%
Innocent_1 vs Reina 3–0 100.00%
Innocent_1 vs Lidia 3–0 100.00%
Innocent_1 vs Paul 0–2 0.00%
Innocent_1 vs Jack-8 2–0 100.00%
Innocent_1 vs Heihachi 1–1 50.00%
Innocent_1 vs Feng 1–0 100.00%
Innocent_1 vs Leo 1–0 100.00%
Innocent_1 vs Lars 0–1 0.00%
Innocent_1 vs Alisa 0–1 0.00%
Innocent_1 vs Lee 1–0 100.00%
Innocent_1 vs Zafina 1–0 100.00%

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.