Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big Smoke vs Kazuya 134–90 59.82%
Big Smoke vs Heihachi 106–106–1 50.00%
Big Smoke vs Jin 80–51 61.07%
Big Smoke vs Bryan 55–72 43.31%
Big Smoke vs Hwoarang 74–32 69.81%
Big Smoke vs King 57–42 57.58%
Big Smoke vs Law 66–32 67.35%
Big Smoke vs Reina 47–47 50.00%
Big Smoke vs Steve 47–46 50.54%
Big Smoke vs Devil Jin 40–39 50.63%
Big Smoke vs Lili 34–35 49.28%
Big Smoke vs Dragunov 26–42 38.24%
Big Smoke vs Paul 30–32 48.39%
Big Smoke vs Asuka 28–25 52.83%
Big Smoke vs Lee 33–19 63.46%
Big Smoke vs Yoshimitsu 23–27 46.00%
Big Smoke vs Lidia 22–27 44.90%
Big Smoke vs Eddy 23–24 48.94%
Big Smoke vs Feng 29–16 64.44%
Big Smoke vs Jun 21–24 46.67%
Big Smoke vs Azucena 23–22 51.11%
Big Smoke vs Nina 22–18 55.00%
Big Smoke vs Xiaoyu 16–20 44.44%
Big Smoke vs Alisa 19–16 54.29%
Big Smoke vs Lars 17–16 51.52%
Big Smoke vs Fahkumram 16–16 50.00%
Big Smoke vs Victor 18–13 58.06%
Big Smoke vs Armor King 17–14 54.84%
Big Smoke vs Leroy 18–11 62.07%
Big Smoke vs Leo 14–13 51.85%
Big Smoke vs Raven 16–11 59.26%
Big Smoke vs Claudio 4–16 20.00%
Big Smoke vs Jack-8 12–7 63.16%
Big Smoke vs Shaheen 9–7 56.25%
Big Smoke vs Anna 8–8 50.00%
Big Smoke vs Zafina 9–4 69.23%
Big Smoke vs Kuma 3–8 27.27%
Big Smoke vs Clive 5–2 71.43%
Big Smoke vs Panda 4–2 66.67%
Big Smoke vs Miary Zo 1–4 20.00%

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.