Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

nettspend
freaky lars
freaky jin
andromeda
bad@this_game
nettspend vs Jun 6–17 26.09%
nettspend vs Eddy 3–20 13.04%
nettspend vs King 8–14 36.36%
nettspend vs Reina 5–15 25.00%
nettspend vs Yoshimitsu 6–12 33.33%
nettspend vs Steve 9–9 50.00%
nettspend vs Victor 6–12 33.33%
nettspend vs Jin 2–13 13.33%
nettspend vs Hwoarang 2–12 14.29%
nettspend vs Azucena 5–9 35.71%
nettspend vs Law 4–9 30.77%
nettspend vs Kazuya 5–8 38.46%
nettspend vs Lili 2–11 15.38%
nettspend vs Devil Jin 3–9 25.00%
nettspend vs Leo 5–7 41.67%
nettspend vs Lee 5–7 41.67%
nettspend vs Dragunov 1–10 9.09%
nettspend vs Bryan 2–8 20.00%
nettspend vs Xiaoyu 1–8 11.11%
nettspend vs Raven 4–3 57.14%
nettspend vs Asuka 2–4 33.33%
nettspend vs Alisa 2–4 33.33%
nettspend vs Paul 1–4 20.00%
nettspend vs Jack-8 1–4 20.00%
nettspend vs Feng 1–4 20.00%
nettspend vs Lars 0–5 0.00%
nettspend vs Kuma 1–4 20.00%
nettspend vs Leroy 0–5 0.00%
nettspend vs Nina 3–1 75.00%
nettspend vs Claudio 0–2 0.00%
nettspend vs Shaheen 0–2 0.00%
nettspend vs Zafina 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.