Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

CoolTune vs Heihachi 101–78 56.42%
CoolTune vs Bryan 68–55 55.28%
CoolTune vs Kazuya 79–42 65.29%
CoolTune vs Steve 58–40 59.18%
CoolTune vs Reina 45–45 50.00%
CoolTune vs King 57–32 64.04%
CoolTune vs Jin 52–37 58.43%
CoolTune vs Dragunov 49–34 59.04%
CoolTune vs Lidia 49–27 64.47%
CoolTune vs Lili 40–32 55.56%
CoolTune vs Hwoarang 50–19 72.46%
CoolTune vs Yoshimitsu 39–29 57.35%
CoolTune vs Asuka 36–27 57.14%
CoolTune vs Law 43–18 70.49%
CoolTune vs Lee 36–22 62.07%
CoolTune vs Raven 37–20 64.91%
CoolTune vs Devil Jin 32–24 57.14%
CoolTune vs Claudio 30–23 56.60%
CoolTune vs Clive 30–23 56.60%
CoolTune vs Paul 26–26 50.00%
CoolTune vs Xiaoyu 24–25 48.98%
CoolTune vs Azucena 29–16 64.44%
CoolTune vs Nina 25–15 62.50%
CoolTune vs Jun 27–12 69.23%
CoolTune vs Lars 25–11 69.44%
CoolTune vs Victor 19–16 54.29%
CoolTune vs Feng 24–8 75.00%
CoolTune vs Leo 18–12 60.00%
CoolTune vs Leroy 12–17 41.38%
CoolTune vs Eddy 18–11 62.07%
CoolTune vs Anna 17–11 60.71%
CoolTune vs Kuma 14–13 51.85%
CoolTune vs Zafina 9–15 37.50%
CoolTune vs Alisa 18–5 78.26%
CoolTune vs Jack-8 13–5 72.22%
CoolTune vs Armor King 3–12 20.00%
CoolTune vs Fahkumram 8–6 57.14%
CoolTune vs Shaheen 8–4 66.67%
CoolTune vs Miary Zo 6–3 66.67%
CoolTune vs Panda 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.