Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
IndianCook

Ratings

IndianCook vs Kazuya 63–71 47.01%
IndianCook vs Jin 59–54 52.21%
IndianCook vs Bryan 53–40 56.99%
IndianCook vs King 54–38 58.70%
IndianCook vs Heihachi 42–46 47.73%
IndianCook vs Clive 32–51 38.55%
IndianCook vs Fahkumram 34–44 43.59%
IndianCook vs Hwoarang 44–26 62.86%
IndianCook vs Reina 35–35 50.00%
IndianCook vs Dragunov 45–24 65.22%
IndianCook vs Steve 36–32 52.94%
IndianCook vs Yoshimitsu 24–41 36.92%
IndianCook vs Law 24–39 38.10%
IndianCook vs Lili 29–27 51.79%
IndianCook vs Paul 25–24 51.02%
IndianCook vs Devil Jin 24–21 53.33%
IndianCook vs Alisa 19–22 46.34%
IndianCook vs Azucena 19–22 46.34%
IndianCook vs Nina 16–21 43.24%
IndianCook vs Eddy 20–17 54.05%
IndianCook vs Lee 20–16 55.56%
IndianCook vs Victor 22–14 61.11%
IndianCook vs Lars 17–9 65.38%
IndianCook vs Leroy 15–11 57.69%
IndianCook vs Lidia 9–17 34.62%
IndianCook vs Xiaoyu 12–13 48.00%
IndianCook vs Leo 12–13 48.00%
IndianCook vs Asuka 11–13 45.83%
IndianCook vs Jun 9–15 37.50%
IndianCook vs Kuma 7–14 33.33%
IndianCook vs Feng 8–9 47.06%
IndianCook vs Claudio 9–7 56.25%
IndianCook vs Jack-8 7–7 50.00%
IndianCook vs Shaheen 9–3 75.00%
IndianCook vs Raven 7–5 58.33%
IndianCook vs Panda 6–4 60.00%
IndianCook vs Anna 1–6 14.29%
IndianCook vs Zafina 1–3 25.00%

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.