Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Scartrox vs Kazuya 160–50 76.19%
Scartrox vs Bryan 121–37 76.58%
Scartrox vs Reina 108–41 72.48%
Scartrox vs Jin 96–33 74.42%
Scartrox vs Heihachi 83–33 71.55%
Scartrox vs Paul 67–35 65.69%
Scartrox vs King 74–25 74.75%
Scartrox vs Dragunov 71–25 73.96%
Scartrox vs Hwoarang 57–37 60.64%
Scartrox vs Lidia 45–25 64.29%
Scartrox vs Law 51–17 75.00%
Scartrox vs Yoshimitsu 50–16 75.76%
Scartrox vs Lili 50–16 75.76%
Scartrox vs Jun 38–24 61.29%
Scartrox vs Steve 38–21 64.41%
Scartrox vs Devil Jin 45–14 76.27%
Scartrox vs Lee 34–23 59.65%
Scartrox vs Feng 40–14 74.07%
Scartrox vs Asuka 37–11 77.08%
Scartrox vs Leroy 30–12 71.43%
Scartrox vs Alisa 24–14 63.16%
Scartrox vs Azucena 25–13 65.79%
Scartrox vs Lars 29–8 78.38%
Scartrox vs Jack-8 23–12 65.71%
Scartrox vs Raven 27–7 79.41%
Scartrox vs Victor 27–6 81.82%
Scartrox vs Armor King 28–5 84.85%
Scartrox vs Nina 19–12 61.29%
Scartrox vs Zafina 16–14 53.33%
Scartrox vs Eddy 20–10 66.67%
Scartrox vs Leo 18–11 62.07%
Scartrox vs Anna 21–7 75.00%
Scartrox vs Clive 14–7 66.67%
Scartrox vs Xiaoyu 9–11 45.00%
Scartrox vs Claudio 12–7 63.16%
Scartrox vs Shaheen 10–8 55.56%
Scartrox vs Fahkumram 13–4 76.47%
Scartrox vs Kuma 12–4 75.00%
Scartrox vs Panda 1–4 20.00%
Scartrox vs Miary Zo 4–0 100.00%

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.