Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Kaiman's Husban

Ratings

Kaiman's Husban vs Armor King 34–37 47.89%
Kaiman's Husban vs King 17–21 44.74%
Kaiman's Husban vs Jin 16–19 45.71%
Kaiman's Husban vs Kazuya 11–20 35.48%
Kaiman's Husban vs Eddy 14–12 53.85%
Kaiman's Husban vs Steve 10–14 41.67%
Kaiman's Husban vs Lili 9–14 39.13%
Kaiman's Husban vs Hwoarang 6–14 30.00%
Kaiman's Husban vs Asuka 9–11 45.00%
Kaiman's Husban vs Law 8–11 42.11%
Kaiman's Husban vs Bryan 6–12 33.33%
Kaiman's Husban vs Reina 10–8 55.56%
Kaiman's Husban vs Jun 10–6 62.50%
Kaiman's Husban vs Dragunov 5–10 33.33%
Kaiman's Husban vs Devil Jin 4–9 30.77%
Kaiman's Husban vs Lidia 8–5 61.54%
Kaiman's Husban vs Azucena 2–10 16.67%
Kaiman's Husban vs Paul 6–5 54.55%
Kaiman's Husban vs Heihachi 7–4 63.64%
Kaiman's Husban vs Xiaoyu 0–10 0.00%
Kaiman's Husban vs Shaheen 6–4 60.00%
Kaiman's Husban vs Clive 6–4 60.00%
Kaiman's Husban vs Fahkumram 3–7 30.00%
Kaiman's Husban vs Victor 3–3 50.00%
Kaiman's Husban vs Alisa 3–2 60.00%
Kaiman's Husban vs Panda 1–4 20.00%
Kaiman's Husban vs Miary Zo 1–4 20.00%
Kaiman's Husban vs Yoshimitsu 1–3 25.00%
Kaiman's Husban vs Raven 1–3 25.00%
Kaiman's Husban vs Lars 1–2 33.33%
Kaiman's Husban vs Anna 2–1 66.67%
Kaiman's Husban vs Leo 2–0 100.00%
Kaiman's Husban vs Leroy 2–0 100.00%

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.