Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ColdPika vs Kazuya 93–97 48.95%
ColdPika vs Hwoarang 88–75 53.99%
ColdPika vs King 89–56 61.38%
ColdPika vs Bryan 70–74 48.61%
ColdPika vs Reina 84–59 58.74%
ColdPika vs Steve 79–57 58.09%
ColdPika vs Jin 58–69 45.67%
ColdPika vs Law 59–52 53.15%
ColdPika vs Lili 43–63 40.57%
ColdPika vs Lee 58–45 56.31%
ColdPika vs Dragunov 52–42 55.32%
ColdPika vs Yoshimitsu 55–32 63.22%
ColdPika vs Azucena 36–45 44.44%
ColdPika vs Paul 33–44 42.86%
ColdPika vs Lidia 35–42 45.45%
ColdPika vs Armor King 38–36 51.35%
ColdPika vs Lars 36–37 49.32%
ColdPika vs Jun 47–26 64.38%
ColdPika vs Heihachi 32–37 46.38%
ColdPika vs Leo 38–25 60.32%
ColdPika vs Jack-8 30–28 51.72%
ColdPika vs Asuka 39–19 67.24%
ColdPika vs Feng 25–33 43.10%
ColdPika vs Xiaoyu 38–17 69.09%
ColdPika vs Leroy 25–26 49.02%
ColdPika vs Raven 25–26 49.02%
ColdPika vs Eddy 22–26 45.83%
ColdPika vs Nina 24–23 51.06%
ColdPika vs Alisa 18–25 41.86%
ColdPika vs Devil Jin 21–21 50.00%
ColdPika vs Victor 20–22 47.62%
ColdPika vs Miary Zo 15–22 40.54%
ColdPika vs Shaheen 14–20 41.18%
ColdPika vs Fahkumram 20–9 68.97%
ColdPika vs Claudio 9–19 32.14%
ColdPika vs Kuma 13–14 48.15%
ColdPika vs Zafina 7–16 30.43%
ColdPika vs Anna 15–8 65.22%
ColdPika vs Panda 9–6 60.00%
ColdPika vs Clive 2–6 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.