Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Montréalgorithm

Ratings

Montréalgorithm vs Lidia 2–10 16.67%
Montréalgorithm vs King 2–7 22.22%
Montréalgorithm vs Yoshimitsu 4–5 44.44%
Montréalgorithm vs Devil Jin 4–4 50.00%
Montréalgorithm vs Kazuya 0–6 0.00%
Montréalgorithm vs Asuka 1–5 16.67%
Montréalgorithm vs Dragunov 2–4 33.33%
Montréalgorithm vs Alisa 0–6 0.00%
Montréalgorithm vs Hwoarang 2–3 40.00%
Montréalgorithm vs Leo 2–3 40.00%
Montréalgorithm vs Reina 5–0 100.00%
Montréalgorithm vs Azucena 2–3 40.00%
Montréalgorithm vs Steve 2–2 50.00%
Montréalgorithm vs Nina 3–1 75.00%
Montréalgorithm vs Leroy 3–1 75.00%
Montréalgorithm vs Eddy 2–2 50.00%
Montréalgorithm vs Law 1–2 33.33%
Montréalgorithm vs Jin 1–2 33.33%
Montréalgorithm vs Feng 0–3 0.00%
Montréalgorithm vs Paul 0–2 0.00%
Montréalgorithm vs Lili 2–0 100.00%
Montréalgorithm vs Lee 0–2 0.00%
Montréalgorithm vs Jun 1–1 50.00%
Montréalgorithm vs Bryan 0–1 0.00%
Montréalgorithm vs Lars 1–0 100.00%
Montréalgorithm vs Shaheen 0–1 0.00%
Montréalgorithm vs Kuma 0–1 0.00%
Montréalgorithm vs Victor 1–0 100.00%
Montréalgorithm vs Raven 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.