Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

arlecchino vs Kazuya 59–30 66.29%
arlecchino vs Dragunov 49–37 56.98%
arlecchino vs Hwoarang 50–35 58.82%
arlecchino vs Bryan 45–32 58.44%
arlecchino vs King 54–15 78.26%
arlecchino vs Lili 40–24 62.50%
arlecchino vs Jin 38–24 61.29%
arlecchino vs Reina 24–33 42.11%
arlecchino vs Victor 30–27 52.63%
arlecchino vs Devil Jin 34–21 61.82%
arlecchino vs Paul 32–22 59.26%
arlecchino vs Leroy 33–18 64.71%
arlecchino vs Law 26–23 53.06%
arlecchino vs Xiaoyu 29–16 64.44%
arlecchino vs Lee 25–20 55.56%
arlecchino vs Asuka 30–11 73.17%
arlecchino vs Azucena 30–10 75.00%
arlecchino vs Feng 27–12 69.23%
arlecchino vs Steve 23–14 62.16%
arlecchino vs Yoshimitsu 28–8 77.78%
arlecchino vs Jun 21–15 58.33%
arlecchino vs Fahkumram 18–18 50.00%
arlecchino vs Claudio 18–16 52.94%
arlecchino vs Shaheen 17–17 50.00%
arlecchino vs Lars 19–14 57.58%
arlecchino vs Eddy 13–20 39.39%
arlecchino vs Nina 18–9 66.67%
arlecchino vs Jack-8 14–12 53.85%
arlecchino vs Leo 11–14 44.00%
arlecchino vs Raven 19–6 76.00%
arlecchino vs Alisa 16–7 69.57%
arlecchino vs Kuma 13–4 76.47%
arlecchino vs Heihachi 5–8 38.46%
arlecchino vs Panda 5–6 45.45%
arlecchino vs Zafina 5–6 45.45%
arlecchino vs Clive 6–5 54.55%
arlecchino vs Anna 2–4 33.33%
arlecchino vs Lidia 2–2 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.