Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sambowam vs Kazuya 91–115 44.17%
sambowam vs King 90–97 48.13%
sambowam vs Reina 78–86 47.56%
sambowam vs Bryan 71–81 46.71%
sambowam vs Jin 75–63 54.35%
sambowam vs Hwoarang 64–61 51.20%
sambowam vs Steve 57–55 50.89%
sambowam vs Lee 49–54 47.57%
sambowam vs Lili 41–58 41.41%
sambowam vs Dragunov 52–46 53.06%
sambowam vs Paul 43–52 45.26%
sambowam vs Lars 47–41 53.41%
sambowam vs Law 46–40 53.49%
sambowam vs Asuka 34–45 43.04%
sambowam vs Azucena 35–44 44.30%
sambowam vs Yoshimitsu 45–32 58.44%
sambowam vs Jun 31–44 41.33%
sambowam vs Victor 31–43 41.89%
sambowam vs Eddy 39–34 53.42%
sambowam vs Feng 33–36 47.83%
sambowam vs Nina 31–35 46.97%
sambowam vs Raven 29–36 44.62%
sambowam vs Xiaoyu 31–31 50.00%
sambowam vs Devil Jin 28–29 49.12%
sambowam vs Leo 28–29 49.12%
sambowam vs Heihachi 25–30 45.45%
sambowam vs Alisa 16–29 35.56%
sambowam vs Armor King 21–24 46.67%
sambowam vs Claudio 17–23 42.50%
sambowam vs Lidia 19–20 48.72%
sambowam vs Kuma 14–23 37.84%
sambowam vs Leroy 16–20 44.44%
sambowam vs Shaheen 18–17 51.43%
sambowam vs Jack-8 8–23 25.81%
sambowam vs Fahkumram 11–18 37.93%
sambowam vs Clive 7–15 31.82%
sambowam vs Panda 8–9 47.06%
sambowam vs Zafina 8–9 47.06%
sambowam vs Anna 5–4 55.56%
sambowam vs Miary Zo 4–4 50.00%

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.