Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Shack684 vs King 71–140 33.65%
Shack684 vs Reina 73–89 45.06%
Shack684 vs Law 47–112 29.56%
Shack684 vs Steve 58–89 39.46%
Shack684 vs Jin 56–89 38.62%
Shack684 vs Kazuya 41–101 28.87%
Shack684 vs Eddy 30–99 23.26%
Shack684 vs Hwoarang 52–73 41.60%
Shack684 vs Bryan 56–67 45.53%
Shack684 vs Lili 43–51 45.74%
Shack684 vs Jun 32–52 38.10%
Shack684 vs Dragunov 29–52 35.80%
Shack684 vs Xiaoyu 25–51 32.89%
Shack684 vs Azucena 30–43 41.10%
Shack684 vs Asuka 24–48 33.33%
Shack684 vs Yoshimitsu 24–42 36.36%
Shack684 vs Heihachi 26–38–1 40.62%
Shack684 vs Nina 25–38 39.68%
Shack684 vs Victor 22–38 36.67%
Shack684 vs Lars 18–40 31.03%
Shack684 vs Leroy 14–44 24.14%
Shack684 vs Lee 24–33 42.11%
Shack684 vs Paul 18–31 36.73%
Shack684 vs Feng 14–34 29.17%
Shack684 vs Lidia 20–27–1 42.55%
Shack684 vs Clive 18–20 47.37%
Shack684 vs Leo 15–22 40.54%
Shack684 vs Alisa 9–27 25.00%
Shack684 vs Raven 10–25 28.57%
Shack684 vs Devil Jin 11–19 36.67%
Shack684 vs Jack-8 12–15 44.44%
Shack684 vs Kuma 4–22 15.38%
Shack684 vs Zafina 10–12 45.45%
Shack684 vs Shaheen 2–14 12.50%
Shack684 vs Claudio 9–6 60.00%
Shack684 vs Anna 7–7 50.00%
Shack684 vs Fahkumram 4–5 44.44%
Shack684 vs Armor King 3–6 33.33%
Shack684 vs Panda 0–2 0.00%
Shack684 vs Miary Zo 1–0 100.00%

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.