Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
🕷️🕷️🕷️🕷️

Ratings

🕷️🕷️🕷️🕷️ vs Kazuya 101–62 61.96%
🕷️🕷️🕷️🕷️ vs Heihachi 105–51 67.31%
🕷️🕷️🕷️🕷️ vs Paul 86–49 63.70%
🕷️🕷️🕷️🕷️ vs Clive 66–61–1 51.97%
🕷️🕷️🕷️🕷️ vs Bryan 72–52 58.06%
🕷️🕷️🕷️🕷️ vs Dragunov 65–45 59.09%
🕷️🕷️🕷️🕷️ vs Reina 68–36 65.38%
🕷️🕷️🕷️🕷️ vs Hwoarang 58–32 64.44%
🕷️🕷️🕷️🕷️ vs Jin 44–40 52.38%
🕷️🕷️🕷️🕷️ vs Steve 52–25 67.53%
🕷️🕷️🕷️🕷️ vs Yoshimitsu 52–22 70.27%
🕷️🕷️🕷️🕷️ vs King 48–23 67.61%
🕷️🕷️🕷️🕷️ vs Feng 39–20 66.10%
🕷️🕷️🕷️🕷️ vs Lili 31–28 52.54%
🕷️🕷️🕷️🕷️ vs Victor 35–22 61.40%
🕷️🕷️🕷️🕷️ vs Law 42–14 75.00%
🕷️🕷️🕷️🕷️ vs Claudio 38–15 71.70%
🕷️🕷️🕷️🕷️ vs Devil Jin 23–28 45.10%
🕷️🕷️🕷️🕷️ vs Azucena 32–19 62.75%
🕷️🕷️🕷️🕷️ vs Leroy 33–16 67.35%
🕷️🕷️🕷️🕷️ vs Alisa 30–13 69.77%
🕷️🕷️🕷️🕷️ vs Jun 25–18 58.14%
🕷️🕷️🕷️🕷️ vs Jack-8 25–13 65.79%
🕷️🕷️🕷️🕷️ vs Lee 22–14 61.11%
🕷️🕷️🕷️🕷️ vs Nina 18–12 60.00%
🕷️🕷️🕷️🕷️ vs Eddy 14–16 46.67%
🕷️🕷️🕷️🕷️ vs Leo 14–12 53.85%
🕷️🕷️🕷️🕷️ vs Asuka 12–13 48.00%
🕷️🕷️🕷️🕷️ vs Kuma 16–6 72.73%
🕷️🕷️🕷️🕷️ vs Lars 8–13 38.10%
🕷️🕷️🕷️🕷️ vs Raven 11–10 52.38%
🕷️🕷️🕷️🕷️ vs Lidia 9–12 42.86%
🕷️🕷️🕷️🕷️ vs Xiaoyu 16–4 80.00%
🕷️🕷️🕷️🕷️ vs Miary Zo 10–10 50.00%
🕷️🕷️🕷️🕷️ vs Shaheen 7–11 38.89%
🕷️🕷️🕷️🕷️ vs Panda 9–7 56.25%
🕷️🕷️🕷️🕷️ vs Anna 9–5 64.29%
🕷️🕷️🕷️🕷️ vs Armor King 9–3 75.00%
🕷️🕷️🕷️🕷️ vs Fahkumram 7–2 77.78%
🕷️🕷️🕷️🕷️ vs Zafina 2–3 40.00%

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.