Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
BurntGutz

Ratings

BurntGutz vs Armor King 12–46 20.69%
BurntGutz vs Steve 14–43 24.56%
BurntGutz vs King 18–38 32.14%
BurntGutz vs Jin 10–29 25.64%
BurntGutz vs Lili 13–24 35.14%
BurntGutz vs Law 5–23 17.86%
BurntGutz vs Hwoarang 9–17 34.62%
BurntGutz vs Fahkumram 2–20 9.09%
BurntGutz vs Dragunov 4–17 19.05%
BurntGutz vs Lars 5–16 23.81%
BurntGutz vs Heihachi 4–17 19.05%
BurntGutz vs Bryan 0–18 0.00%
BurntGutz vs Lidia 2–16 11.11%
BurntGutz vs Reina 5–12 29.41%
BurntGutz vs Azucena 3–13 18.75%
BurntGutz vs Victor 5–10 33.33%
BurntGutz vs Clive 3–12 20.00%
BurntGutz vs Yoshimitsu 4–10 28.57%
BurntGutz vs Kazuya 2–11 15.38%
BurntGutz vs Leroy 4–9 30.77%
BurntGutz vs Anna 2–11 15.38%
BurntGutz vs Miary Zo 4–9 30.77%
BurntGutz vs Paul 3–9 25.00%
BurntGutz vs Xiaoyu 6–6 50.00%
BurntGutz vs Asuka 2–10 16.67%
BurntGutz vs Lee 3–9 25.00%
BurntGutz vs Jun 4–8 33.33%
BurntGutz vs Eddy 4–8 33.33%
BurntGutz vs Leo 3–8 27.27%
BurntGutz vs Alisa 5–4 55.56%
BurntGutz vs Devil Jin 2–5 28.57%
BurntGutz vs Nina 1–6 14.29%
BurntGutz vs Raven 3–3 50.00%
BurntGutz vs Feng 1–4 20.00%
BurntGutz vs Claudio 0–5 0.00%
BurntGutz vs Jack-8 0–3 0.00%
BurntGutz vs Zafina 2–1 66.67%
BurntGutz vs Shaheen 0–2 0.00%
BurntGutz vs Kuma 0–2 0.00%
BurntGutz vs Panda 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.