Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

HardMove vs Kazuya 146–97 60.08%
HardMove vs Jin 125–67 65.10%
HardMove vs King 92–66 58.23%
HardMove vs Bryan 78–74 51.32%
HardMove vs Steve 51–67 43.22%
HardMove vs Reina 54–64 45.76%
HardMove vs Law 79–38 67.52%
HardMove vs Dragunov 56–58 49.12%
HardMove vs Heihachi 67–47 58.77%
HardMove vs Hwoarang 44–65 40.37%
HardMove vs Paul 47–45 51.09%
HardMove vs Devil Jin 38–48 44.19%
HardMove vs Lili 30–46 39.47%
HardMove vs Asuka 35–39 47.30%
HardMove vs Yoshimitsu 43–29 59.72%
HardMove vs Lee 35–32 52.24%
HardMove vs Feng 34–25 57.63%
HardMove vs Jun 31–28 52.54%
HardMove vs Nina 28–30 48.28%
HardMove vs Eddy 27–30 47.37%
HardMove vs Azucena 32–22 59.26%
HardMove vs Victor 33–21 61.11%
HardMove vs Alisa 32–17 65.31%
HardMove vs Lars 23–21 52.27%
HardMove vs Xiaoyu 15–27 35.71%
HardMove vs Leroy 23–19 54.76%
HardMove vs Lidia 21–17 55.26%
HardMove vs Clive 16–22 42.11%
HardMove vs Leo 19–18 51.35%
HardMove vs Jack-8 21–15 58.33%
HardMove vs Claudio 21–13 61.76%
HardMove vs Kuma 9–23 28.12%
HardMove vs Shaheen 9–18 33.33%
HardMove vs Raven 15–12 55.56%
HardMove vs Zafina 9–13 40.91%
HardMove vs Armor King 15–6 71.43%
HardMove vs Fahkumram 4–12 25.00%
HardMove vs Miary Zo 5–11 31.25%
HardMove vs Panda 0–8 0.00%
HardMove vs Anna 1–4 20.00%

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.