Wavu Wank

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

Ratings

🕷️🕷️🕷️🕷️ vs Kazuya 92–54 63.01%
🕷️🕷️🕷️🕷️ vs Heihachi 97–42 69.78%
🕷️🕷️🕷️🕷️ vs Clive 65–60–1 52.00%
🕷️🕷️🕷️🕷️ vs Paul 77–46 62.60%
🕷️🕷️🕷️🕷️ vs Dragunov 62–37 62.63%
🕷️🕷️🕷️🕷️ vs Bryan 57–39 59.38%
🕷️🕷️🕷️🕷️ vs Reina 63–30 67.74%
🕷️🕷️🕷️🕷️ vs Hwoarang 46–28 62.16%
🕷️🕷️🕷️🕷️ vs Yoshimitsu 48–21 69.57%
🕷️🕷️🕷️🕷️ vs Jin 37–32 53.62%
🕷️🕷️🕷️🕷️ vs Steve 50–19 72.46%
🕷️🕷️🕷️🕷️ vs King 41–20 67.21%
🕷️🕷️🕷️🕷️ vs Feng 37–20 64.91%
🕷️🕷️🕷️🕷️ vs Victor 33–21 61.11%
🕷️🕷️🕷️🕷️ vs Lili 28–24 53.85%
🕷️🕷️🕷️🕷️ vs Law 38–12 76.00%
🕷️🕷️🕷️🕷️ vs Leroy 30–15 66.67%
🕷️🕷️🕷️🕷️ vs Azucena 30–15 66.67%
🕷️🕷️🕷️🕷️ vs Devil Jin 19–25 43.18%
🕷️🕷️🕷️🕷️ vs Claudio 34–8 80.95%
🕷️🕷️🕷️🕷️ vs Alisa 28–13 68.29%
🕷️🕷️🕷️🕷️ vs Jun 19–17 52.78%
🕷️🕷️🕷️🕷️ vs Jack-8 23–12 65.71%
🕷️🕷️🕷️🕷️ vs Lee 20–14 58.82%
🕷️🕷️🕷️🕷️ vs Eddy 13–16 44.83%
🕷️🕷️🕷️🕷️ vs Leo 13–12 52.00%
🕷️🕷️🕷️🕷️ vs Nina 16–8 66.67%
🕷️🕷️🕷️🕷️ vs Asuka 10–13 43.48%
🕷️🕷️🕷️🕷️ vs Kuma 16–6 72.73%
🕷️🕷️🕷️🕷️ vs Lars 8–13 38.10%
🕷️🕷️🕷️🕷️ vs Shaheen 7–11 38.89%
🕷️🕷️🕷️🕷️ vs Xiaoyu 15–2 88.24%
🕷️🕷️🕷️🕷️ vs Lidia 7–9 43.75%
🕷️🕷️🕷️🕷️ vs Panda 7–6 53.85%
🕷️🕷️🕷️🕷️ vs Raven 7–6 53.85%
🕷️🕷️🕷️🕷️ vs Anna 4–4 50.00%
🕷️🕷️🕷️🕷️ vs Armor King 5–2 71.43%
🕷️🕷️🕷️🕷️ vs Miary Zo 5–1 83.33%
🕷️🕷️🕷️🕷️ vs Zafina 2–3 40.00%
🕷️🕷️🕷️🕷️ vs Fahkumram 1–0 100.00%

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.