Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
MasterGoose

Ratings

MasterGoose vs Hwoarang 7–18 28.00%
MasterGoose vs Jin 11–12 47.83%
MasterGoose vs Law 11–7 61.11%
MasterGoose vs King 11–6 64.71%
MasterGoose vs Steve 7–9 43.75%
MasterGoose vs Dragunov 6–9 40.00%
MasterGoose vs Reina 11–4 73.33%
MasterGoose vs Bryan 5–8 38.46%
MasterGoose vs Kazuya 5–8 38.46%
MasterGoose vs Victor 5–8 38.46%
MasterGoose vs Lili 5–4 55.56%
MasterGoose vs Jun 3–6 33.33%
MasterGoose vs Asuka 2–6 25.00%
MasterGoose vs Lee 3–4 42.86%
MasterGoose vs Lars 3–3 50.00%
MasterGoose vs Eddy 3–3 50.00%
MasterGoose vs Leo 2–3 40.00%
MasterGoose vs Alisa 2–3 40.00%
MasterGoose vs Azucena 3–2 60.00%
MasterGoose vs Yoshimitsu 0–4 0.00%
MasterGoose vs Xiaoyu 0–4 0.00%
MasterGoose vs Zafina 2–2 50.00%
MasterGoose vs Leroy 3–1 75.00%
MasterGoose vs Paul 2–1 66.67%
MasterGoose vs Feng 1–2 33.33%
MasterGoose vs Nina 2–1 66.67%
MasterGoose vs Jack-8 2–0 100.00%
MasterGoose vs Kuma 0–2 0.00%
MasterGoose vs Claudio 1–0 100.00%
MasterGoose vs Panda 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.