Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FatChubbs vs King 71–64 52.59%
FatChubbs vs Kazuya 62–72 46.27%
FatChubbs vs Bryan 69–60 53.49%
FatChubbs vs Reina 54–65 45.38%
FatChubbs vs Steve 55–56 49.55%
FatChubbs vs Jin 51–50 50.50%
FatChubbs vs Hwoarang 52–38 57.78%
FatChubbs vs Dragunov 38–47 44.71%
FatChubbs vs Asuka 36–39 48.00%
FatChubbs vs Law 42–28 60.00%
FatChubbs vs Jun 39–30 56.52%
FatChubbs vs Lars 31–35 46.97%
FatChubbs vs Yoshimitsu 27–29 48.21%
FatChubbs vs Lili 32–22 59.26%
FatChubbs vs Lee 26–27 49.06%
FatChubbs vs Eddy 26–23 53.06%
FatChubbs vs Heihachi 19–27 41.30%
FatChubbs vs Paul 24–21 53.33%
FatChubbs vs Azucena 29–14 67.44%
FatChubbs vs Alisa 15–27 35.71%
FatChubbs vs Devil Jin 23–18 56.10%
FatChubbs vs Claudio 22–18 55.00%
FatChubbs vs Leroy 19–20 48.72%
FatChubbs vs Feng 20–18 52.63%
FatChubbs vs Nina 19–19 50.00%
FatChubbs vs Victor 20–17 54.05%
FatChubbs vs Raven 17–18 48.57%
FatChubbs vs Jack-8 14–19 42.42%
FatChubbs vs Xiaoyu 17–15 53.12%
FatChubbs vs Kuma 21–9 70.00%
FatChubbs vs Leo 14–14 50.00%
FatChubbs vs Zafina 7–15 31.82%
FatChubbs vs Clive 8–14 36.36%
FatChubbs vs Lidia 15–5 75.00%
FatChubbs vs Shaheen 7–8 46.67%
FatChubbs vs Panda 0–6 0.00%
FatChubbs vs Fahkumram 3–2 60.00%
FatChubbs vs Armor King 0–2 0.00%
FatChubbs vs Anna 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.